Human motion analysis using simultaneous trajectory and body detection and modeling

W. Lao, Jungong Han, P.H.N. With, de

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In this paper, we propose a scheme to combine trajectory-based detection and body-based estimation to analyze human behavior in video scene. Our scheme is applied for a fast and automatic detection of pick-up/drop-off events within surveillance videos in indoor areas. A moving person is tracked globally using the mean-shift algorithm and modeled locally using an axis skeleton in a monocular video sequence. We detect and rectify the stationary pick-up/drop-off objects. The spatial-temporal relationship between object and person is measured and exploited to detect a pick-up/drop-off event. Our experimental results accu rately estimate the human-motion trajectory and infer the posture. The system operates at real-time speed (around 20 frames/second).
Original languageEnglish
Title of host publicationProceedings of the 28th Symposium on Information Theory in the Benelux, May 24-25, 2007, Enschede, the Netherlands
Place of PublicationEnschede
PublisherWerkgemeenschap voor Informatie- en Communicatietheorie (WIC)
ISBN (Print)978-90-365-2509-1
Publication statusPublished - 2009


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