Using Histograms to Detect and Track Objects in Color Video

Authors:
M. Mason;Z. Duric
Affiliations:
-;-
Venue:
AIPR '01 Proceedings of the 30th on Applied Imagery Pattern Recognition Workshop
Year:
2001

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Abstract

Two methods of detecting and tracking objects in colorvideo are presented. Color and edge histograms are exploredas ways to model the background and foreground ofa scene. The two types of methods are evaluated to determinetheir speed, accuracy and robustness. Histogram comparisontechniques are used to compute similarity valuesthat aid in identifying regions of interest. Foreground objectsare detected and tracked by dividing each video frameinto smaller regions (cells) and comparing the histogram ofeach cell to the background model. Results are presentedfor video sequences of human activity.