Coordinating interactive vision behaviors for cognitive assistance
Computer Vision and Image Understanding
The visual active memory perspective on integrated recognition systems
Image and Vision Computing
3D action recognition and long-term prediction of human motion
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
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In this paper we propose to recognize manipulative hand gestures by incorporating symbolic constraints in a particle filtering approach used for trajectory-based activity recognition. To this end, the notion of situational and spatial context of a gesture is introduced. This scene context is incorporated during the analysis of the trajectory data. A first evaluation in an office environment demonstrates the suitability of our approach. Different from purely trajectory-based approaches, our method recognizes manipulative gestures including the information which objects were manipulated.