光学精密工程2017，Vol.25Issue(7)：1934-1940,7.DOI:10.3788/OPE.20172507.1934
基于元胞自动机的动态背景运动目标检测
Moving target detection based on dynamic background of cellular automaton
摘要
Abstract
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.关键词
元胞自动机/显著性检测/动态背景/运动目标检测Key words
cellular automata/saliency detection/dynamic background/moving target detection分类
信息技术与安全科学引用本文复制引用
陆牧,朱明,高扬,张刘..基于元胞自动机的动态背景运动目标检测[J].光学精密工程,2017,25(7):1934-1940,7.基金项目
吉林省科技发展计划青年科研基金资助项目(No.20150520057JH) （No.20150520057JH）
