View-Invariant Representation and Recognition of Actions
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This paper introduces the use of range information acquired by aCSEM SwissRanger SR-2 camera for view invariant recognition of oneand two arms gestures. The range data enables motion detection and3D representation of gestures. Motion is detected by doubledifference range images and filtered by a hysteresis bandpassfilter. Gestures are represented by concatenating harmonic shapecontexts over time. This representation allows for a view invariantmatching of the gestures. The system is trained on gestures fromone viewpoint and evaluated on gestures from other viewpoints. Theresults show a recognition rate of 93.75%.