3D Head Pose Estimation Using the Kinect
2011 (English)Conference paper (Refereed)
Head pose estimation plays an essential role for bridging the information gap between humans and computers. Conventional head pose estimation methods are mostly done in images captured by cameras. However accurate and robust pose estimation is often problematic. In this paper we present an algorithm for recovering the six degrees of freedom (DOF) of motion of a head from a sequence of range images taken by the Microsoft Kinectfor Xbox 360. The proposed algorithm utilizes a least-squares minimization of the difference between themeasured rate of change of depth at a point and the rate predicted by the depth rate constraint equation. We segment the human head from its surroundings and background, and then we estimate the head motion. Our system has the capability to recover the six DOF of the head motion of multiple people in one image. Theproposed system is evaluated in our lab and presents superior results.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2011. 1-4 p.
IdentifiersURN: urn:nbn:se:umu:diva-52815DOI: 10.1109/WCSP.2011.6096866ISBN: 978-1-4577-1008-7OAI: oai:DiVA.org:umu-52815DiVA: diva2:507238
IEEE International Conference on Wireless Communications and Signal Processing (WCSP2011), 9-11 nov, TBD, Nanjing, China