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A Robust Human Detection and Tracking System Using a Human-Model-Based Camera Calibration

Abstract : We present a robust, real-time human detection and tracking system that achieves very good results in a wide range of commercial applications, including counting people and measuring occupancy. The key to the system is a human model based camera calibration process. The system uses a simplified human model that allows the user to very quickly and easily configure the system. This simple initialization procedure is essential for commercial viability.
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https://hal.inria.fr/inria-00325644
Contributor : Peter Sturm <>
Submitted on : Monday, September 29, 2008 - 6:07:44 PM
Last modification on : Monday, September 29, 2008 - 8:24:01 PM
Long-term archiving on: : Friday, June 4, 2010 - 11:57:35 AM

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  • HAL Id : inria-00325644, version 1

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Zhong Zhang, Peter L. Venetianer, Alan J. Lipton. A Robust Human Detection and Tracking System Using a Human-Model-Based Camera Calibration. The Eighth International Workshop on Visual Surveillance - VS2008, Graeme Jones and Tieniu Tan and Steve Maybank and Dimitrios Makris, Oct 2008, Marseille, France. ⟨inria-00325644⟩

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