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	Combine histogram intersection kernel with linear kernel for pedestrian classification
	Cheng, Y. ; Su, S.Z. ; Li, S.Z. ; Su SZ(苏松志) ; Li SZ(李绍滋)
	2012
关键词	Information science Support vector machines
英文摘要	Conference Name:IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012. Conference Address: Shenzhen, China. Time:December 7, 2012 - December 9, 2012.; Pedestrian detection is an active research in recent years. Most of the researchers have proposed many methods for detecting pedestrians in static images, especially on how to encode the character of pedestrian images. But fewer attentions are paid on the ensemble of multiple kernels of support vector machines (SVM) on the same pedestrian feature. In this paper, the classification performance of the detector and a multiple kernels combination method, which combines the histogram intersection kernel and linear kernel on histogram of oriented gradient (HOG), is proposed. Experimental results on INRIA human dataset show its efficiency.
语种	英语
出处	http://dx.doi.org/10.1049/cp.2012.2480
出版者	Institution of Engineering and Technology
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86842]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Cheng, Y.,Su, S.Z.,Li, S.Z.,et al. Combine histogram intersection kernel with linear kernel for pedestrian classification. 2012-01-01.

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