A low-cost pedestrian-detection system with a single optical camera

CASIA OpenIR > 09年以前成果

	A low-cost pedestrian-detection system with a single optical camera
	Cao, Xian-Bin 1,2; Qiao, Hong3,4 ; Keane, John 5
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
	2008-03-01
卷号	9 期号:1 页码:58-67
文章类型	Article
摘要	The ultimate purpose of a pedestrian-detection system (PDS) is to reduce pedestrian-vehicle-related injury. Most such systems tend to adopt expensive sensors, such as infrared devices, in expectation of better performance. In comparison low-cost optical-camera-based system has much potential practical value, including a greater detection range, and can easily be trained to detect other objects. However, such low-cost systems are difficult to design (e.g., little original information can be collected, and the scene is very complex). To address these problems, an effective and reliable classifier is needed. The classifier should have a proper structure, its features need to be well selected, and a large number of high-quality samples are necessary for training. In this paper, we present a low-cost PDS which only uses a single optical camera. We design a cascade classifier to achieve an effective and reliable detection. First, our system scans two sequential frames at each zoom scale with a sliding window. Second, with each window, both appearance and motion features are extracted. A well-trained cascade classifier, combining statistical learning with a decomposed support-vector-machine classifier, then determines whether the window contains a human body. At the same time, to provide as much information as possible about the pedestrian, a small-scale weighted template tree trained by a coevolutionary algorithm is adopted to identify each pedestrian's direction, and the distance of each from the vehicle is also provided using an estimation algorithm. During the training procedure, we select key features by using the AdaBoost algorithm and a large number of high-quality samples. Experimental results demonstrate that the system is suitable for pedestrian detection in city traffic: The detection speed is more than 10 ft/s, the detection rate reaches 80%, and the false positive rate is no more than 0.3 parts per thousand.
关键词	Cascade Classifier Coevolutionary Algorithm Decomposed Support Vector Machines (Svms) Pedestrian-detection System (Pds) Small-scale Weighted Template Tree Statistical Learning
WOS标题词	Science & Technology ; Technology
关键词[WOS]	NIGHT-VISION ; TRACKING
收录类别	SCI
语种	英语
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:000253790100007
引用统计	被引频次：57[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/173211/9516
专题	09年以前成果
通讯作者	Cao, Xian-Bin
作者单位	1.Univ Sci & Technol China, Dept Comp Sci & Technol, Anhua 230026, Peoples R China 2.Anhui Prov Key Lab Software Comp & Commun, Anhua 230026, Peoples R China 3.Chinese Acad Sci, Inst Automat, Lab Comp Syst & Intelligent Sci, Beijing 100080, Peoples R China 4.Univ Manchester, Sch Informat, Manchester M60 1QD, Lancs, England 5.Univ Manchester, Manchester M13 9PL, Lancs, England
推荐引用方式 GB/T 7714	Cao, Xian-Bin,Qiao, Hong,Keane, John. A low-cost pedestrian-detection system with a single optical camera[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2008,9(1):58-67.
APA	Cao, Xian-Bin,Qiao, Hong,&Keane, John.(2008).A low-cost pedestrian-detection system with a single optical camera.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,9(1),58-67.
MLA	Cao, Xian-Bin,et al."A low-cost pedestrian-detection system with a single optical camera".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 9.1(2008):58-67.