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15th International Conference on Pattern Recognition (ICPR'00) - Volume 4   p. 4627
Detection and Location of People in Video Images Using Adaptive Fusion of Color and Edge Information
Sumer Jabri, George Mason University
Zoran Duric, George Mason University
Harry Wechsler, George Mason University
Azriel Rosenfeld, University of Maryland at College Park

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.902997
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Abstract
A new method of finding people in video images is presented. Detection is based on a novel background modeling and subtraction approach which uses both color and edge information. We introduce confidence maps - gray-scale images whose intensity is a function of our confidence that a pixel has changed - to fuse intermediate results and to represent the results of background subtraction. The latter is used to delineate a person's body by guiding contour collection to segment the person from the background. The method is tolerant to scene clutter, slow illumination changes, and camera noise, and runs in near real time on a standard platform.
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Citation:  Sumer Jabri, Zoran Duric, Harry Wechsler, Azriel Rosenfeld, "Detection and Location of People in Video Images Using Adaptive Fusion of Color and Edge Information," icpr, p. 4627,  15th International Conference on Pattern Recognition (ICPR'00) - Volume 4,  2000