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FGR
2002
IEEE

Detection of People Carrying Objects: A Motion-Based Recognition Approach

10 years 1 months ago
Detection of People Carrying Objects: A Motion-Based Recognition Approach
We describe a method to detect instances of a walking person carrying an object seen from a stationary camera. We take a correspondence-free motion-based recognition approach, that exploits known shape and periodicity cues of the human silhouette shape. Specifically, we subdivide the binary silhouette into four horizontal segments, and analyze the temporal behavior of the bounding box width over each segment. We posit that the periodicity and amplitudes of these time series satisfy certain criteria for a natural walking person, and deviations therefrom are an indication that the person might be carrying an object. The method is tested on 41 360x240 color outdoor sequences of people walking and carrying objects at various poses and camera viewpoints. A correct detection rate of 85% and a false alarm rate of 12% are obtained.
Chiraz BenAbdelkader, Larry S. Davis
Added 14 Jul 2010
Updated 14 Jul 2010
Type Conference
Year 2002
Where FGR
Authors Chiraz BenAbdelkader, Larry S. Davis
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