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  • 1.
    Eilertsen, Svein Morten
    et al.
    Bioforsk Nord Tjøtta.
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Electronically sensors system to warn drivers if a reindeer is close to the road or the railway2014In: Nordic Association of Agricultural Scientists: NJF Report, 2014, Vol. 10, p. 30-30Conference paper (Refereed)
    Abstract [en]

    In Norway, Sweden and Finland approximately 9.000 reindeer are killed every year in traffic accidents (road and railway). In field experiments two different electronically sensor system were used. The purpose is to warn car drivers and railway engineers that reindeer are close to, or on the traffic system, and reduce the numbers of accident. The information system developed by Telespor is based on GPS/GSM radio collars. These collars use SMS to inform that the reindeer are close to the traffic system. In addition to the warning, the reindeer owners get information about the reindeer land use throughout the whole year. The collars are expensive (approx. 250 euros/unit) and need battery change every year. At Umeå University a system based on wireless sensor nodes attached to the reindeer collars is developed. This node will send out a periodic warning radio beacon. On road sticks a warning device will be attached containing a radio receiver and LED flashlights that will warn if a radio beacon is received. To further increase the warning distance it is possible to use communication between the roadside warning devices and let several devices flash their LED lights when a reindeer is detected. The radio collar (approx. 15 euros/unit) will have a theoretical battery life of more than 10 years. The radio range is around 500 meters between the radio collar and the roadside warning device, which is more than sufficient.

  • 2.
    Fahlquist, Karin
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Ren, Keni
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Liu, Li
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Ur-Rehman, Shafiq
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Wark, Tim
    CSIRO.
    Human animal machine interaction: Animal behavior awareness and digital experience2010In: Proceedings of ACM Multimedia 2010 - Brave New Ideas, 25-29 October 2010, Firenze, Italy., 2010, p. 1269-1274Conference paper (Refereed)
    Abstract [en]

    This paper proposes an intuitive wireless sensor/actuator based communication network for human animal interaction for a digital zoo. In order to enhance effective observation and control over wild life, we have built a wireless sensor network. 25 video transmitting nodes are installed for animal behavior observation and experimental vibrotactile collars have been designed for effective control in an animal park.

    The goal of our research is two-folded. Firstly, to provide an interaction between digital users and animals, and monitor the animal behavior for safety purposes. Secondly, we investigate how animals can be controlled or trained based on vibrotactile stimuli instead of electric stimuli.

    We have designed a multimedia sensor network for human animal machine interaction. We have evaluated the effect of human animal machine state communication model in field experiments.

  • 3.
    Fahlquist, Karin
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Mejtoft, Thomas
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Social media game concept within the Digital Zoo: new ways of connecting a tourist attraction with its visitors2011In: 2011 IEEE International Conferences on Internet of Things, and Cyber, Physical and Social Computing / [ed] Feng Xia, Zhikui Chen, Gang Pan, Laurence T. Yang, and Jianhua Ma, Los Alamitos: IEEE Computer Society, 2011, p. 170-177Conference paper (Refereed)
    Abstract [en]

    In this paper a conceptual model for a social media game will be illustrated. The idea is to find a way to integrate our physical and digital world in a way that will involve the environment around us containing both artifacts and people and become a natural part of our daily lives. We want to show that by integrate ubiquitous information and social media in a game idea, it is possible to create a concept for a social media game application that could be used at a tourist attraction, e.g. a zoo. The value that is received from this application is both educative for the visitors and marketing for the tourist attraction. The conceptual model of the social media game builds upon the foundations of internet of things for the future version of a tourist attraction, such as the Digital Zoo.

  • 4.
    Haake, Johan
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Björk, Peter
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Demonstration abstract: positioning by synchronized IR light2014In: Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (IPSN' 14), IEEE conference proceedings, 2014, p. 335-336Conference paper (Refereed)
    Abstract [en]

    In this paper we will describe a positioning system based on synchronized IR light. Each node will be assigned a timeslot where they will send out an IR light. There is an IR camera that is also synchronized to the timeslots that will detect the position of each node and the ID that corresponds to the timeslot. To synchronize the clock of all nodes an IR flashlight is sent out that is detected by a photodiode on the nodes. The demo will show live video stream from a network camera where the ID and position of each node in view will be overlaid in real-time in the video.

  • 5.
    Haake, Johan
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Björk, Peter
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Demonstration Abstract: Positioning by Synchronized IR Light2014Conference paper (Refereed)
    Abstract [en]

    In this paper we will describe a positioning system based on synchronized IR light. Each node will be assigned a timeslot where they will send out an IR light. There is an IR camera that is also synchronized to the timeslots that will detect the position of each node and the ID that corresponds to the timeslot. To synchronize the clock of all nodes an IR flashlight is sent out that is detected by a photodiode on the nodes. The demo will show live video stream from a network camera where the ID and position of each node in view will be overlaid in real-time in the video. 

  • 6. Herrmann, Falk
    et al.
    Hensel, Andreas
    Manjeshwar, Arati
    Israelsson, Mikael
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Hill, Jason
    Self-organizing hierarchical wireless network for surveillance and control2003Patent (Other (popular science, discussion, etc.))
  • 7.
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Low-Complexity Encoding in Block-Based Hybrid Video Codecs by Moving Motion Estimation to Decoder Side2014In: International Journal of Adaptive, Resilient and Autonomic Systems, ISSN 1947-9220, E-ISSN 1947-9239, Vol. 5, no 1, p. 19-29Article in journal (Refereed)
    Abstract [en]

    In this paper the authors present an approach to provide efficient low-complexity encoding for the block-based video coding scheme. The authors present a method based on removing the most time-consuming task, that is motion estimation, from the encoder. Instead the decoder will perform motion prediction based on the available decoded frame and send the predicted motion vectors to the encoder. The results presented are based on a modified H.264 implementation. The results show that this approach can provide rather good coding efficiency even for relatively high network delays.

  • 8.
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Motion estimation on decoder side for low-complexity video encoding in wireless sensor networks2012In: 1st International Workshop on Wireless Multimedia Sensor Networks (WMSN'12),Barcelona, Spain, October 8-10, 2012, IEEE Computer Society, 2012Conference paper (Refereed)
  • 9.
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Two hop connectivity for uniformed randomly distributed points in the unit square2012In: International Journal of Wireless & Mobile Networks, ISSN 0975-4679, E-ISSN 0975-3834, Vol. 4, no 4, p. 1-12Article in journal (Refereed)
  • 10.
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Wireless video sensor network and its applications in digital zoo2010Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Most computing and communicating devices have been personal computers that were connected to Internet through a fixed network connection. It is believed that future communication devices will not be of this type. Instead the intelligence and communication capability will move into various objects that surround us. This is often referred to as the "Internet of Things" or "Wireless Embedded Internet". This thesis deals with video processing and communication in these types of systems.

    One application scenario that is dealt with in this thesis is real-time video transmission over wireless ad-hoc networks. Here a set of devices automatically form a network and start to communicate without the need for any previous infrastructure. These devices act as both hosts and routers and can build up large networks where they forward information for each other. We have identified two major problems when sending real-time video over wireless ad-hoc networks. One is the reactive design used by most ad-hoc routing protocols. When nodes move some links that are used in the communication path between the sender and the receiver may disappear. The reactive routing protocols wait until some links on the path breaks and then start to search for a new path. This will lead to long interruptions in packet delivery and does not work well for real-time video transmission. Instead we propose an approach where we identify when a route is about to break and start to search for new routes before this happen. This is called a proactive approach. Another problem is that video codecs are very sensitive for packet losses and at the same time the wireless ad-hoc network is very error prone. The most common way to handle lost packets in video codecs is to periodically insert frames that are not predictively coded. This method periodically corrects errors regardless there has been an error or not. The method we propose is to insert frames that are not predictively coded directly after a packet has been lost, and only if a packet has been lost.

    Another area that is dealt with in this thesis is video sensor networks. These are small devices that have communication and computational capacity, they are equipped with an image sensor so that they can capture video. Since these devices in general have very limited resources in terms of energy, computation, communication and memory they demand a lot of the video compression algorithms used. In standard video compression algorithms the complexity is high for the encoder while the decoder has low complexity and is just passively controlled by the encoder. We propose video compression algorithms for wireless video sensor networks where complexity is reduced in the encoder by moving some of the image analysis to the decoder side. We have implemented our approach on actual low-power sensor nodes to test our developed algorithms.

    Finally we have built a "Digital Zoo" that is a complete system including a large scale outdoor video sensor network. The goal is to use the collected data from the video sensor network to create new experiences for physical visitors in the zoo, or "cyber" visitors from home. Here several topics that relate to practical deployments of sensor networks are addressed.

  • 11.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Anani, Adi
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Enabling real-time video services over ad-hoc networks opens the gates for e-learning in areas lacking infrastructure2009In: International Journal of Interactive Mobile Technologies (iJIM),, ISSN 1865-7923, Vol. 3, no 4, p. 17-23Article in journal (Refereed)
    Abstract [en]

    In this paper we suggest a promising solution to come over the problems of delivering e-learning to areas with lack or deficiencies in infrastructure for Internet and mobile communication. We present a simple, reasonably priced and efficient communication platform for providing e-learning. This platform is based on wireless ad-hoc networks. We also present a preemptive routing protocol suitable for real-time video communication over wireless ad-hoc networks. Our results show that this routing protocol can significantly improve the quality of the received video. This makes our suggested system not only good to overcome the infrastructure barrier but even capable of delivering a high quality e-learning material.

  • 12.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Eriksson, Jerry
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    P2P video multicast for wireless mobile clients2006In: The Fourth International Conference on Mobile Systems, Applications, and Services (MobiSys 2006). 19-22 June 2006, Uppsala, Sweden., 2006Conference paper (Refereed)
  • 13.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Eriksson, Jerry
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Real-time video over wireless ad-hoc networks2005In: Conference on Computer Communications and Networks, 2005.: Proceedings 14th International Conference on (ICCCN 2005), 17-19 October 2005, San Diego, California, USA, IEEE , 2005, p. 596-596Conference paper (Refereed)
    Abstract [en]

    In this paper we investigate important issue for real-time video over wireless ad-hoc networks on different layers. Many error control methods for this approach use multiple streams and multipath routing. Thus the new proactive, link-state routing protocol have been developed, where the protocol finds the available route in the network and also it will not cause any interruption in the video traffic between the source and the destination. The open source MPEG-4 is also implemented to get the efficient video quality for the picture.

  • 14.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Eriksson, Jerry
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Real-Time Video Performance Using Preemptive Routing2006In: The Australian Telecommunication Networks and Applications Conference (ATNAC 2006). 4-6 December 2006, Melbourne, Australia, 2006Conference paper (Refereed)
  • 15.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Eriksson, Jerry
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Two hop connectivity for uniformed randomly distributed points in the unit square2006In: Proceedings of the First International Conference on Communications and Networking in China (CHINACOM 2006). 25-27 October 2006, Beijing, China., 2006Conference paper (Refereed)
    Abstract [en]

    Connectivity in ad-hoc networks is a fundamental, but to a large extend still unsolved problem. In this paper we consider the connectivity problem when a number of nodes are uniformly distributed within a unit square. We limit our problem to the one-hop and two-hop connectivity. For the one-hop connectivity we find the exact analytically solution. For the two-hop connectivity we find the lower and upper bound for connectivity.

  • 16.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Israelsson, Mikael
    Vimeo AB.
    Eriksson, Jerry
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Efficient P2P mobile service for live media streaming2006In: Proceedings of the Australian Telecommunication Networks and Applications Conference (ATNAC 2006). 4-6 December 2006, Melbourne, Australia., 2006Conference paper (Refereed)
    Abstract [en]

    Mobile TV is a new interesting area in the telecommunication industry. The technology for sending live video to mobile clients is characterized by relatively low CPU processing power, low network resources, and low display resolution. In this paper we discuss a solution to all of these problems by using application layer multicasting. This can significantly reduce the needed bitrate and required computing resources for each client. At the same time the received video quality is increased. Several different methods for splitting the video into substreams are discussed. Simulations for the local wireless ad-hoc network are performed. A system for application layer multicasting using layered H.264 is also presented.

  • 17.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Israelsson, Mikael
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Real-time video over wireless ad-hoc networks2004In: Proceedings, Symposium on Image Analysis, 2004, p. 106-109Conference paper (Refereed)
  • 18.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Kouma, Jean-Paul
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Wark, Tim
    CSIRO.
    Corke, Peter
    CSIRO.
    Demonstration of Wyner-Ziv video compression in a wireless camera sensor network2009In: The 9th Scandinavian Workshop on Wireless Ad-hoc & Sensor Networks (ADHOC'09 ). 4-5 May 2009, Uppsala, Sweden., Uppsala, 2009Conference paper (Refereed)
    Abstract [en]

    Sending  video over wireless sensor networks is a challenging task. The encoding and transmission of video is very resource hungry and the sensor nodes have very limited resources in terms of communication bandwidth,memory, computation and  typically 5-10 times. In this paper we will present a practical implementation of a Wyner-Ziv video codec where the reversed asymmetry in complexity between encoder and decoder can be achieved. We will also present our sensor network platform used in this demonstration known as Fleck TM-3 as well as two different co-processor daughterboards for image processing. The different daughterboards are then compared in terms of speed and energy consumption.

  • 19.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Kouma, Jean-Paul
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Wark, Tim
    CSIRO.
    Corke, Peter
    CSIRO.
    Poster Abstract: Distributed Video Coding for a Low-Bandwidth Wireless Camera Network2008In: The 5th European conference on Wireless Sensor Networks (EWSN 2008). 30 January - 1 February 2008, Bologna, Italy., 2008Conference paper (Refereed)
  • 20.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Kouma, Jean-Paul
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Wark, Tim
    Corke, Peter I.
    Demonstration of Wyner-Ziv video compression in a wireless camera sensor network2009In: The Sixth Swedish National Computer Networking Workshop and Ninth Scandinavian Workshop on Wireless Adhoc Networks (SNCNW+Adhoc 2009), 2009Conference paper (Other academic)
    Abstract [en]

    Wyner-Ziv video coding can provide low complexity encoding and high complexity decoding and is therefore a promising approach for video coding in wireless sensor networks. We will demonstrate our practical implementation of a wyner-ziv video codec. The hardware platform used in our camera sensor network is the Fleck camera developed by CSIRO ASL in Brisbane, Australia.

  • 21.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Moving motion estimation from encoder for low-complexity video sensorsManuscript (preprint) (Other academic)
    Abstract [en]

    In this paper we present an approach to provide efficient low-complexity video encoding for wireless sensor networks. We present an method based on removing the most time-consuming task, that is motion estimation, from the encoder. Instead the decoder will perform motion prediction based on the available decoded frame and send the predicted motion vectors to the encoder. We present results based on a modified H.264 implementation. Our results shows that this approach can provide rather good coding efficiency even for relatively high network delays.

  • 22.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    P2P video multicast for wireless mobile clients2006In: Proceedings SSBA 2006 / [ed] Fredrik Georgsson, Niclas Börlin, 2006, p. 85-88Conference paper (Refereed)
  • 23.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Ren, Keni
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Tracking and identification of animals for a digital zoo2010In: Proceedings of the 1st IEEE/ACM Internet of Things Symposium, 18-20 December 2010, Hangzhou, China., 2010Conference paper (Refereed)
    Abstract [en]

    In this paper we present our approach to use a combination of radio frequency identification (RFID) and a wireless camera sensor network to identify and track animals at a zoo. We have developed and installed 25 cameras covering the whole zoo. The cameras are totally autonomous and they are configuring themselves in a wireless ad-hoc network. At strategic locations RFID readers are deployed to identify animals in close proximity. The camera network deployed in the zoo is continuous tracking animals in its field of view. By using data fusion from the camera system and the RFID readers we can get semi-continuous tracking of individual animals. The camera network has been running in the zoo for more than one year and about 5 000 hours of video has been captured and recorded. This will give us a very large dataset for offline development and testing of computer vision algorithms for animal detection and tracking.

  • 24.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Ur Réhman, Shafiq
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Augmented reality to enhance vistors experience in a digital zoo2010In: Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia (ACM MUM'10), Limassol, Cyprus, 2010Conference paper (Refereed)
  • 25.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Wark, Tim
    CSIRO.
    Haake, Johan
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Björk, Peter
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    The digital zoo: a testbed for wireless video sensor networks2011Conference paper (Refereed)
    Abstract [en]

    In this paper we describe our work on building a large scale testbed for wireless video sensor networks. The site for this testbed is a zoo located in north Sweden, Lycksele djurpark. The zoo covers an area of about 47 hectares and is home to more than 400 animals, divided into 30 spieces. This gives us the possibility to build a large scale deployment rich of events to detect. The site is located in nothern Sweden where the winters are dark and cold and the summers have a lot of sunshine. This is an challanging environment for the sensor network deployment where the solar powered sensor nodes needs to be highly adaptive.

  • 26.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Wark, Tim
    CSIRO.
    Ren, Keni
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Fahlquist, Karin
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Applications of wireless visual sensor networks: the digital zoo2010In: Visual information processing in wireless sensor networks: Technology, trends and applications / [ed] Li-minn Ang, Kah Phooi Seng, IGI Global , 2010Chapter in book (Other academic)
    Abstract [en]

    In this chapter we will describe our work to set up a large scale wireless visual sensor network in a Swedish zoo. It is located close to the Arctic Circle making the environment very hard for this type of deployment. The goal is to make the zoo digitally enhanced, leading to a more attractive and interactive zoo. To reach this goal the sensed data will be processed and semantic information will be used to support interaction design, which is a key component to provide a new type of experience for the visitors. In this chapter we will describe our research work related to the various aspects of a digital zoo

  • 27.
    Karlsson, Johannes
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Wark, Tim
    CSIRO.
    Valencia, Philip
    CSIRO ICT Centre, Brisbane, Australia .
    Ung, Michael
    CSIRO ICT Centre, Brisbane, Australia .
    Corke, Peter
    CSIRO ICT Centre, Brisbane, Australia .
    Demonstration of Image Compression in a Low-Bandwidth Wireless Camera Network2007In: Processing in Sensor Networks (IPSN 2007), New York: ACM , 2007, p. 557-558Conference paper (Refereed)
  • 28.
    Ren, Keni
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Hourunranta, Jani
    Tolonen, Joni
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    BearWatcher: animal motion estimation application for tourism and welfare2015In: Distributed, ambient, and pervasive interactions / [ed] Streitz, Norbert, Markopoulos, Panos, 2015, p. 536-546Conference paper (Refereed)
    Abstract [en]

    This paper purposes an application based on video supervision systems in the zoo for human animal computer interaction. Bear-Watcher system covers the entire process from collecting animal's visual data, analyzing their movement and behavior, and presenting them to user interface for tourism and animal welfare. With the interaction between the users and animal movement information, the system gives the tourist more digital, more available, more involved experience. In the meanwhile, zoo keepers get reliable, accurate, cost-effective way to take care of animals.

  • 29.
    Ren, Keni
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Animal Tracking in Multi-Modal Wireless Sensor Networks2012In: SNCNW 2012 ( the 8th Swedish National Computer Networking Workshop), June 7-8, 2012, 2012Conference paper (Refereed)
  • 30.
    Ren, Keni
    et al.
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Li, Haibo
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Interaction Design for Digital Zoo2011In: 2011 IEEE International Conferences on Internet of Things and Cyber, Physical and Social Computing / [ed] Feng Xia, Zhikui Chen, Gang Pan, Laurence T. Yang, and Jianhua Ma, Los Alamitos: IEEE Computer Society, 2011, p. 744-747Conference paper (Refereed)
    Abstract [en]

    This paper proposes a consumer-oriented design of Interaction System applied in a digital zoo. In order to introduce a new experience of visiting zoos, a series of interaction interfaces and applications is designed based on the web surfing. The applications can be located anywhere has Internet connection, used by visitors both in and out of the zoo. In the meantime, zoo staffs can use the system implement to manage the zoo more efficiently on both computer and smart phone. The digital zoo, as the showcase of the interaction system, employed the technology that combine radio frequency identification (RFID), wireless camera sensor network and computer vision system for collecting and processing information in a reality zoo. The Interaction System for digital zoo enhances effective interaction behavior between human-animals, human-human, and management over animals. The design is based on the Digital Djurpark Porject with current deployment a multimedia sensor network for human animal machine interaction. We have evaluated the effect of interaction model in field experiments.

  • 31. Venkatraman, Lakshmi
    et al.
    Herrmann, Falk
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    BTNet: A New Topology Establishment Scheme for Bluetooth Scatternets2003In: Proceedings of 5th European Personal Mobile Communications Conference (EPMCC). 22-25 April 2003, Glasgow, Scotland, 2003Conference paper (Refereed)
  • 32.
    Wark, Tim
    et al.
    CSIRO.
    Corke, Peter
    CSIRO.
    Karlsson, Johannes
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Sikka, Pavan
    CSIRO.
    Valencia, Philip
    CSIRO.
    Real-time image streaming over a low-bandwidth wireless camera network2007In: Proceedings of the Third International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2007). 3-6 December 2007, Melbourne, Australia., 2007, p. 113-118Conference paper (Refereed)
    Abstract [en]

    In this paper we describe the recent development of a low- bandwidth wireless camera sensor network. We propose a simple, yet effective, network architecture which allows multiple cameras to be connected to the network and synchronize their communication schedules. Image compression of greater than 90% is performed at each node running on a local DSP coprocessor, resulting in nodes using 1/8th the energy compared to streaming uncompressed images. We briefly introduce the Fleck wireless node and the DSP/camera sensor, and then outline the network architecture and compression algorithm. The system is able to stream color QVGA images over the network to a base station at up to 2 frames per second.

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