A distributed many-camera system for multi-person tracking
AmI'10 Proceedings of the First international joint conference on Ambient intelligence
An active contour computer algorithm for the classification of cucumbers
Computers and Electronics in Agriculture
Model based full body human motion reconstruction from video data
Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications
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This paper presents a method for motion reconstruction. The approach is based on image moments and the bsp-tree data structure. We use invariant properties of these moments to construct a bsp-tree and determine a set of ellipses that aproximates the object's shape in each frame. These ellipsoidal structures are matched, which allow to track the object. Motion is represented by the geometric transformations between the sets of ellipses and stored in the hierarchical structure. Motion reconstruction is done by interpolating these transformations.