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The 3rd Canadian Conference on Computer and Robot Vision (CRV'06)
Object detection and tracking using iterative division and correlograms
Quebec City, Quebec, Canada
June 07-June 09
ISBN: 0-7695-2542-3
Rafik Bourezak, ?cole Polytechnique de Montr?al, Canada
Guillaume-Alexandre Bilodeau, ?cole Polytechnique de Montr?al, Canada
This paper presents algorithms for detecting moving objects, tracking them and interpreting their relationships. The algorithms are based on color and texture analysis in HSV space for real time processing. Our goal is to study human interaction by tracking people and objects for surveillance applications. The object detection algorithm is based on color histograms and iteratively divided interest regions for motion detection. The tracking algorithm is based on correlograms which combine spectral and spatial information to match detected objects in consecutive frames.
Citation:
Rafik Bourezak, Guillaume-Alexandre Bilodeau, "Object detection and tracking using iterative division and correlograms," crv, pp.38, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006
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