Design of MultiObjects RealTime Tracking System Based on Genetic Algorithms
YANG ShuYing1,2,HE PeiLian1
1.School of Computer Science and Technology,Tianjin University,Tianjin 300072 2.Department of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300191
Abstract:The detection and recognition about moving objects in video tracking system are presented in this paper. Moving objects are separated from the background by multiframe difference. According to the average value in different area, the dynamic threshold can be found, and the image is transformed into binary one. Then some invariant characteristics are extracted and used for recognition by genetic algorithm. The experiment result shows the method can detect moving targets and cluster them quickly.
杨淑莹,何丕廉. 基于遗传算法的多目标识别实时系统设计*[J]. 模式识别与人工智能, 2006, 19(3): 325-330.
YANG ShuYing,HE PeiLian. Design of MultiObjects RealTime Tracking System Based on Genetic Algorithms. , 2006, 19(3): 325-330.
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