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Alternative TitleHuman Detection Method Based on Foreground Segmentation
刘剑; 刘亚楠; 高恩阳; 龚志恒
Source Publication小型微型计算机系统
Indexed ByCSCD
Contribution Rank3
Funding Organization国家自然科学基金项目(61070024)资助; 辽宁省住建部(2010-K9-22)资助
Keyword行人检测 Hog 前景分割 闭合区域
Other AbstractThe complex background will greatly affect the test accuracy of human detection. In order to improve the accuracy of human detection,in this paper a new method of Foreground Segmentation has been proposed. This method is divided into two phases, in the sample training phase,through Oriented Watershed Transform and Ultrametric Contour Map,many closed regions in the image can be got,then we compare these closed regions with a box which has been set,and determine these closed regions is foreground or not. The foreground in the image can be got and trained. During the testing phase,the area in the test image which need to be detected can be segmentalized and the foreground can be got,then we can get the HOG of the foreground. By SVM,we know that there is a human in the area or not. So the foreground characteristic can be calculated which have no background noise in the sample training phase and testing phase. The experimental results show that this approach is effective in improving detection accuracy.
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Document Type期刊论文
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GB/T 7714
刘剑,刘亚楠,高恩阳,等. 基于前景分割的行人检测方法[J]. 小型微型计算机系统,2014,35(3):654-658.
APA 刘剑,刘亚楠,高恩阳,&龚志恒.(2014).基于前景分割的行人检测方法.小型微型计算机系统,35(3),654-658.
MLA 刘剑,et al."基于前景分割的行人检测方法".小型微型计算机系统 35.3(2014):654-658.
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