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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