Image analysis – Applications – Target tracking or detecting
Reexamination Certificate
2007-10-16
2011-12-06
Bali, Vikkram (Department: 2624)
Image analysis
Applications
Target tracking or detecting
C382S236000, C348S169000
Reexamination Certificate
active
08073196
ABSTRACT:
Among other things, methods, systems and computer program products are described for detecting and tracking a moving object in a scene. One or more residual pixels are identified from video data. At least two geometric constraints are applied to the identified one or more residual pixels. A disparity of the one or more residual pixels to the applied at least two geometric constraints is calculated. Based on the detected disparity, the one or more residual pixels are classified as belonging to parallax or independent motion and the parallax classified residual pixels are filtered. Further, a moving object is tracked in the video data. Tracking the object includes representing the detected disparity in probabilistic likelihood models. Tracking the object also includes accumulating the probabilistic likelihood models within a number of frames during the parallax filtering. Further, tracking the object includes based on the accumulated probabilistic likelihood models, extracting an optimal path of the moving object.
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Cohen Isaac
Kang Jinman
Medioni Gerard
Yuan Chang
Bali Vikkram
Fish & Richardson P.C.
University of Southern California
Yeh Eueng-Nan
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