A Robust Human Detection and Tracking System Using a Human-Model-Based Camera Calibration
Year: 2008
Type: conference-paper
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.
Source: HAL
Authors: Zhong Zhang, P.L. Venetianer, Alan J. Lipton
Institution: ObjectVideo (United States)
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W76436066