Mining Semantic Context Information for Intelligent Video Surveillance of Traffic Scenes

	Mining Semantic Context Information for Intelligent Video Surveillance of Traffic Scenes
	Zhang, Tianzhu1,2 ; Liu, Si 1,2; Xu, Changsheng1,2 ; Lu, Hanqing1,2
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
	2013-02-01
卷号	9 期号:1 页码:149-160
文章类型	Article
摘要	Automated visual surveillance systems are attracting extensive interest due to public security. In this paper, we attempt to mine semantic context information including object-specific context information and scene-specific context information (learned from object-specific context information) to build an intelligent system with robust object detection, tracking, and classification and abnormal event detection. By means of object-specific context information, a cotrained classifier, which takes advantage of the multiview information of objects and reduces the number of labeling training samples, is learned to classify objects into pedestrians or vehicles with high object classification performance. For each kind of object, we learn its corresponding semantic scene-specific context information: motion pattern, width distribution, paths, and entry/exist points. Based on this information, it is efficient to improve object detection and tracking and abnormal event detection. Experimental results demonstrate the effectiveness of our semantic context features for multiple real-world traffic scenes.
关键词	Event Detection Gaussian Mixture Model (Gmm) And Graph Cut Object Classification Object Detection Object Tracking Video Surveillance
WOS标题词	Science & Technology ; Technology
关键词[WOS]	VISUAL SURVEILLANCE ; FACE DETECTION ; GRAPH CUTS ; OPTIMIZATION ; RECOGNITION ; PATTERNS ; TRACKING
收录类别	SCI
语种	英语
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
WOS类目	Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS记录号	WOS:000312839600015
引用统计	被引频次：68[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/173211/2842
专题	多模态人工智能系统全国重点实验室_多媒体计算
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.China Singapore Inst Digital Media, Singapore 119613, Singapore
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Zhang, Tianzhu,Liu, Si,Xu, Changsheng,et al. Mining Semantic Context Information for Intelligent Video Surveillance of Traffic Scenes[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2013,9(1):149-160.
APA	Zhang, Tianzhu,Liu, Si,Xu, Changsheng,&Lu, Hanqing.(2013).Mining Semantic Context Information for Intelligent Video Surveillance of Traffic Scenes.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,9(1),149-160.
MLA	Zhang, Tianzhu,et al."Mining Semantic Context Information for Intelligent Video Surveillance of Traffic Scenes".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 9.1(2013):149-160.