Rapid pedestrian detection in unseen scenes

doi:10.1016/j.neucom.2011.05.019

OPT OpenIR > 光谱成像技术研究室

	Rapid pedestrian detection in unseen scenes
	Cao, Xianbin 2; Wang, Zhong 2; Yan, Pingkun 1; Li, Xuelong 1
作者部门	光学影像分析与学习中心
	2011-10-01
发表期刊	NEUROCOMPUTING
ISSN	0925-2312
卷号	74 期号:17 页码:3343-3350
产权排序	1
摘要	In this paper, a rapid adaptive pedestrian detection method based on cascade classifier with ternary pattern is proposed. The proposed method achieves its goal by employing the following three new strategies: (1) A method for adjusting the key parameters of the trained cascade classifier dynamically for detecting pedestrians in unseen scenes using only a small amount of labeled data from the new scenes. (2) An efficient optimization method is proposed, based on the cross entropy method and a priori knowledge of the scenes, to solve the classifier parameter optimization problem. (3) In order to further speed up pedestrian detection in unseen scenes, each strong classifier in the cascade employs a ternary detection pattern. In our experiments, two significantly different datasets, AHHF and NICTA, were used as the training set and testing set, respectively. The experimental results showed that the proposed method can quickly adapt a previously trained detector for pedestrian detection in various scenes compared with other existing methods. (C) 2011 Elsevier B.V. All rights reserved.
文章类型	Article
关键词	Pedestrian Detection System Adaptive Detector Cascade Classifier Cross Entropy Ternary Detection Pattern
学科领域	Computer Science
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.neucom.2011.05.019
URL	查看原文
收录类别	SCI ; EI
关键词[WOS]	OPTIMIZATION ; ALGORITHM
语种	英语
WOS研究方向	Computer Science
项目资助者	National Basic Research Program of China (973 Program);National Natural Science Foundation of China;Foundation for Innovative Research Groups of the National Natural Science Foundation of China
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000296212400066
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/19876
专题	光谱成像技术研究室
通讯作者	Yan, Pingkun
作者单位	1.Chinese Acad Sci, Ctr Opt IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China 2.Univ Sci & Technol China, Hefei 230026, Peoples R China
推荐引用方式 GB/T 7714	Cao, Xianbin,Wang, Zhong,Yan, Pingkun,et al. Rapid pedestrian detection in unseen scenes[J]. NEUROCOMPUTING,2011,74(17):3343-3350.
APA	Cao, Xianbin,Wang, Zhong,Yan, Pingkun,&Li, Xuelong.(2011).Rapid pedestrian detection in unseen scenes.NEUROCOMPUTING,74(17),3343-3350.
MLA	Cao, Xianbin,et al."Rapid pedestrian detection in unseen scenes".NEUROCOMPUTING 74.17(2011):3343-3350.

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