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Second International Workshop on Digital and Computational Video (DCV'01)
Object Motion Detection Based on Perceptual Edge Tracking
Tampa, Florida
February 08-February 09
ISBN: 0-7695-1110-4
Q. Gao, Dalhousie University
A. Parslow, Dalhousie University
M. Tan, Dalhousie University
Deep Vision Inc.Abstract: This paper presents a method for detecting moving objects in image sequences produced by a stationary camera.The method is based on perceptual organisation.An edge tracker is developed to extract edge traces on the fly.It is both robust and fast;the method executes in real-time.Moving objects are detected and tracked wit in t e image sequence by computing the difference between the edge-trace flows in consecutive frames.Experimental results are provided.
Citation:
Q. Gao, A. Parslow, M. Tan, "Object Motion Detection Based on Perceptual Edge Tracking," dcv, pp.78, Second International Workshop on Digital and Computational Video (DCV'01), 2001
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