计算机工程与应用2017，Vol.53Issue(21)：179-184,6.DOI:10.3778/j.issn.1002-8331.1605-0209
基于背景分类的运动目标检测算法
Moving target detection algorithm based on background classifi-cation
摘要
Abstract
Aiming at surveillance videos which have low light, low contrast and low resolution, this paper proposes a moving target detection algorithm based on background classification. First, the video image hue H and brightness V of HSV in the first frames are used to initialize the background characteristics in order to build two kinds of background model classes including hue and brightness characteristics, namely the original background class that is obtained in the initialization background and the background fluctuating class influenced by lighting or other factors around the original background. These two models are used to detect foreground and to update background model. To improve the accuracy of the foreground detection, the background correction mechanism and weighting mechanism are utilized to correct the background model, so the number of samples in the background changes according to the actual situation in the back-ground in order to improve the efficiency of the foreground segmentation. Experimental results show that the algorithm can obtain complete and clear foreground image and fast processing speed in different scenarios. This algorithm is simple and practical, and has better robustness for noise.关键词
背景分类/背景更正机制/权重机制/运动目标检测Key words
background classification/background correction mechanism/weight mechanism/moving target detection分类
信息技术与安全科学引用本文复制引用
高红红,曹建荣,李振宇,杨红娟,赵淑胜..基于背景分类的运动目标检测算法[J].计算机工程与应用,2017,53(21):179-184,6.基金项目
国家自然科学基金(No.61303087) （No.61303087）
山东省科技发展计划(No.2013 GGX10131) （No.2013 GGX10131）
济南市高校院所自主创新项目(No.201202002). （No.201202002）
