β Scribed by Ismail Haritaoglu; Ross Cutler; David Harwood; Larry S. Davis
No coin nor oath required. For personal study only.
We describe a video-rate surveillance algorithm for determining whether people are carrying objects or moving unencumbered from a stationary camera. The contribution of the paper is the shape analysis algorithm that both determines whether a person is carrying an object and segments the object from the person so that it can be tracked, e.g., during an exchange of objects between two people. As the object is segmented, an appearance model of the object is constructed. The method combines periodic motion estimation with static symmetry analysis of the silhouettes of a person in each frame of the sequence. Experimental results demonstrate robustness and real-time performance of the proposed algorithm.
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## Abstract A scheme for detecting a moving object in a threeβdimensional environment from observed dynamic images by optical flow, based on the state of the motion of the observing system, is proposed in this paper. The usual optical flow constraint equations defined in an image coordinate system