Hyperdynamics Importance Sampling
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Markerless motion capture of complex full-body movement for character animation
Proceedings of the Eurographic workshop on Computer animation and simulation
Human Body Tracking with Auxiliary Measurements
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Articulated Body Motion Capture by Stochastic Search
International Journal of Computer Vision
Parametric tracking of legs by exploiting intelligent edge
Journal of Computer Science and Technology - Special issue on computer graphics and computer-aided design
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
Human Pose Estimation Using Partial Configurations and Probabilistic Regions
International Journal of Computer Vision
Smart particle filtering for high-dimensional tracking
Computer Vision and Image Understanding
Vision-based hand pose estimation: A review
Computer Vision and Image Understanding
3D shape-encoded particle filter for object tracking and its application to human body tracking
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Fast mixing hyperdynamic sampling
Image and Vision Computing
Using optical flow as evidence for probabilistic tracking
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Tracking people in video sequences using multiple models
Multimedia Tools and Applications
Trajectory-based representation of human actions
ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing
Towards human motion capture from a camera mounted on a mobile robot
Image and Vision Computing
Robust 3d arm tracking from monocular videos
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Singularity detection and consistent 3d arm tracking using monocular videos
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
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Some issues in marker-less tracking of human body motion are addressed. Extended Kalman filters have commonly been applied to kinematic variables, to combine predictions consistent with plausible motion, with the incoming stream of visual measurements. Kalman filtering is applicable only when the underlying distribution is approximately Gaussian. Often, this assumption proves remarkably robust.There are two pervasive circumstances under which the Gaussianity assumption can break down. The first is kinematic singularity, and the second is at joint end-stops. Failure of Kalman filtering under these circumstance is illustrated.The non-Gaussian nature of the distributions is demonstrated experimentally by means of Monte-Carlo simulation. Random simulation - particle filtering or Condensation -proves to provide a robust alternative algorithm for tracking that can also deal with these difficult conditions.