Associated evolution of a support vector machine-based classifier for pedestrian detection

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 机器人理论与应用

	Associated evolution of a support vector machine-based classifier for pedestrian detection
	Cao, X. B.1,2; Xu, Y. W.1,2; Chen, D.1,2; Qiao, H.3
发表期刊	INFORMATION SCIENCES
	2009-03-29
卷号	179 期号:8 页码:1070-1077
文章类型	Article
摘要	Support vector machine (SVM) has become a dominant classification technique used in pedestrian detection systems. In such systems, classifiers are used to detect pedestrians in some input frames. The performance of a SVM classifier is mainly influenced by two factors: the selected features and the parameters of the kernel function. These two factors are highly related and therefore, it is desirable that the two factors can be analyzed simultaneously, which are usually not the case in the previous work.
关键词	Pedestrian Detection System Support Vector Machine Evolutionary Method
WOS标题词	Science & Technology ; Technology
关键词[WOS]	PARAMETERS
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:000263944000004
引用统计	被引频次：24[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3011
专题	多模态人工智能系统全国重点实验室_机器人理论与应用
作者单位	1.Univ Sci & Technol China, Dept Comp Sci & Technol, Hefei 230026, Peoples R China 2.Key Lab Software Comp & Commun, Hefei 230026, Anhui, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Cao, X. B.,Xu, Y. W.,Chen, D.,et al. Associated evolution of a support vector machine-based classifier for pedestrian detection[J]. INFORMATION SCIENCES,2009,179(8):1070-1077.
APA	Cao, X. B.,Xu, Y. W.,Chen, D.,&Qiao, H..(2009).Associated evolution of a support vector machine-based classifier for pedestrian detection.INFORMATION SCIENCES,179(8),1070-1077.
MLA	Cao, X. B.,et al."Associated evolution of a support vector machine-based classifier for pedestrian detection".INFORMATION SCIENCES 179.8(2009):1070-1077.