Filip Korc, Vaclav Hlavac: 2D Model-Based Tracking of Humans in a Single View Sequence

This paper contributes to detection of walking or running humans in surveillance video sequences and tracking them. We propose a 2D m odel-based approach to whole body tracking in a video sequence captured from a single camera view. An extended six-link biped human model is employed. We assume that a static camera observes the scene horizontally or obliquely. Persons can be seen from continuum of views ranging from a lateral to a frontal one. We do not expect humans to be the only moving objects in the scene and to appear at the same scale at different image locations. The method should cope with a slowly moving background.