Occlusion tracking using logic models

Authors:
James H. von Brecht;Sheshadri R. Thiruvenkadam;Tony F. Chan
Affiliations:
University of California, Los Angeles, Los Angeles, CA;University of California, Los Angeles, Los Angeles, CA;University of California, Los Angeles, Los Angeles, CA
Venue:
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Year:
2007

Citing 3
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Abstract

We present a variational PDE based model for tracking objects under occlusion. Here, prior shape information is used to segment object boundaries that are occluded. The novelty in this work is that the shape prior is combined with the image term using logical operations pertaining to a unique occlusion scenario, thus avoiding locally optimal solutions. The model was tested on real and synthetic image sequences with promising results.