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Motion Tracking with Fast Adaptive Background Subtraction 被引量:1
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作者 Xiao De\|gui, Yu S heng\|sheng, Zhou Jing\|li School of Computer Science and Technol ogy, Huazhong University of Science and Technology,Wuhan 430074, Hubei, China 《Wuhan University Journal of Natural Sciences》 CAS 2003年第01A期35-40,共6页
To extract and tr ack moving objects is usually one of the most important tasks of intelligent video surveillance systems. This paper presents a fast and adaptive background subtraction alg... To extract and tr ack moving objects is usually one of the most important tasks of intelligent video surveillance systems. This paper presents a fast and adaptive background subtraction algorithm and the motion tracking process using this algorithm. The algorithm uses only luminance components of sampled image sequence pixels and models every pixel in a statistical model. The algorithm is characterized by its ability of real time detecting sudden lighting changes, and extracting and tracking motion objects faster. It is shown that our algorithm can be realized with lower time and space complexity and adjustable object detection error rate with comparison to other background subtraction algorithms. Making use of the algorithm, an indoor monitoring system is also worked out and the motion tracking process is presented in this paper. Experimental results testify the algorithm's good performances when used in an indoor monitoring system. 展开更多
关键词 background subtraction motion detection and tracking surveillance and monitoring system
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