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2002
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Detecting Automobiles and People for Semantic Video Retrieval

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Detecting Automobiles and People for Semantic Video Retrieval
This paper describes a method for detecting automobiles and people in streaming or archived video. Our video object tracking system is based on Kalman filter updating of an active contour over the video sequence. We use the sequential probability ratio test (SPRT) to classify the moving objects. Results are shown of a real video sequence from a busy city intersection.
Rene Visser, Nicu Sebe, Michael S. Lew
Added 14 Jul 2010
Updated 14 Jul 2010
Type Conference
Year 2002
Where ICPR
Authors Rene Visser, Nicu Sebe, Michael S. Lew
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