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Moving target detection based on dynamic background of cellular automaton
Lu, M.; M. Zhu; Y. Gao and L. Zhang
2017
发表期刊Guangxue Jingmi Gongcheng/Optics and Precision Engineering
卷号25期号:7
摘要Aiming at the problem that it is hard to use the traditional moving target detection algorithm to accurately detect the moving target under the dynamic background, a kind of moving target detection algorithm for the cellular automaton under the dynamic background was proposed in the thesis. Firstly, according to SLIC algorithm, video images were divided in the thesis, and multi-mode hybrid dynamic texture model was used for background modeling for video images; Then, space-time salience detection was integrated with the optimized salience map which was obtained based on the automatic updating mechanism of the cellular automaton; Finally, through making appropriate threshold segmentation process for the optimized salience map, moving targets in video images was obtained. The experimental simulation result shows that under dynamic background, the algorithm can effectively restrain the influence of the salient object for non moving targets in video images on the detection result; moving targets can be detected with higher accuracy; what's more, the algorithm has certain robustness. 2017, Science Press. All right reserved.
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语种中文
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/59116
专题中科院长春光机所知识产出
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GB/T 7714
Lu, M.,M. Zhu,Y. Gao and L. Zhang. Moving target detection based on dynamic background of cellular automaton[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2017,25(7).
APA Lu, M.,M. Zhu,&Y. Gao and L. Zhang.(2017).Moving target detection based on dynamic background of cellular automaton.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,25(7).
MLA Lu, M.,et al."Moving target detection based on dynamic background of cellular automaton".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 25.7(2017).
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