A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Vision-based human motion analysis: An overview
Computer Vision and Image Understanding
Context Information for Human Behavior Analysis and Prediction
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Context-Based Reasoning Using Ontologies to Adapt Visual Tracking in Surveillance
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Human motion tracking by combining view-based and model-based methods for monocular video sequences
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartIII
The recognition and comprehension of hand gestures: a review and research agenda
ZiF'06 Proceedings of the Embodied communication in humans and machines, 2nd ZiF research group international conference on Modeling communication with robots and virtual humans
Expert Systems with Applications: An International Journal
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Visual tracking of human body movement is a key technology in a number of areas. In this paper we present a 2-D model-based method ofhuman body trackingfrom a monocular video sequence. Morris & Rehg put forward a 2-D Scaled Prismatic Model (SPM) for figure registration which has far fewer singularity problems than 3-D models. Here we extend it in a 2-D cardboard human body model with additional one DOF ofwidth change. We set up a mixture motion model for body movements and then solve body motion parameters using EM in a statistical framework, where the model-based kinematic constraints are incorporated in a linear form. Tracking results from real video sequences are encouraging.