Anonymous video processing for live street view
2011 (English)In: 2011 IEEE International Conferences on Internet of Things, and Cyber, Physical and Social Computing, Los Alamitos: IEEE Computer Society, 2011, 109-113 p.Conference paper (Refereed)
We propose a method for hiding the identity of persons and objects in video sequences. This type of video sequence will be used in applications where the scene is important but the identity of persons should be unrecognizable, e.g., street view applications. Other parts, such as company logos, names on house doors or license plates on parked cars should not be recognizable as well. This is today solved in street view by blurring out parts of images that are compressed with standard encoding techniques. We propose a method that automatically will blur out parts that are moving but still show the motion. Our technique requires very low bitrates for video transmission; almost as low as for a still image. The low bitrate and the low computational complexity will enable video views of streets at the same costs as for still images.
Place, publisher, year, edition, pages
Los Alamitos: IEEE Computer Society, 2011. 109-113 p.
Research subject Signal Processing
IdentifiersURN: urn:nbn:se:umu:diva-49280DOI: 10.1109/iThings/CPSCom.2011.106ISBN: 978-1-4577-1976-9OAI: oai:DiVA.org:umu-49280DiVA: diva2:454002
2011 IEEE International Conferences on Internet of Things, Dalian, China, October 19-22, 2011