Video-Based Vehicle Detection Approach with Data-Driven Adaptive Neuro-Fuzzy Networks

doi:10.1142/S0218001415550150

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Video-Based Vehicle Detection Approach with Data-Driven Adaptive Neuro-Fuzzy Networks
	Wang, Kunfeng; Yao, Yanjie; Wang, Kunfeng(王坤峰)
发表期刊	INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
	2015-11-01
卷号	29 期号:7 页码:1555015 (32 pages)
文章类型	Article
摘要	This paper proposes a novel video-based vehicle detection approach with data-driven adaptive neuro-fuzzy networks. The key ideas include configuring several virtual loops as vehicle detection zones in the image, assuming moving vehicles will cause pixel intensities and local textures to change, and then identifying such changes to detect vehicles. In this work, vehicle detection is treated as a pattern classification problem. First, 14 image features (regarding foreground area, texture change, and environmental condition) are extracted to represent the distinction between vehicle and nonvehicle patterns. Then, three neuro-fuzzy networks are trained via incremental semi-supervised learning to build a data-driven adaptive classifier, which judges whether a vehicle is located in the virtual loop. The semi-supervised learning procedure is performed based on a modified tri-training approach, to automatically optimize the structures and parameters of the component neuro-fuzzy networks. Experimental results illustrate that the proposed approach is accurate and robust to detect vehicles in complex environments (e.g. adverse illumination and weather conditions), and thus can improve the performance of video-based vehicle detection.
关键词	Vehicle Detection Virtual Loop Neuro-fuzzy Network Combined Classifier Semi-supervised Learning
WOS标题词	Science & Technology ; Technology
DOI	10.1142/S0218001415550150
关键词[WOS]	INTELLIGENT TRANSPORTATION SYSTEMS ; ALGORITHM ; TRACKING
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000361918600009
引用统计	被引频次：9[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/173211/10732
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Wang, Kunfeng(王坤峰)
作者单位	Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Wang, Kunfeng,Yao, Yanjie,Wang, Kunfeng. Video-Based Vehicle Detection Approach with Data-Driven Adaptive Neuro-Fuzzy Networks[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2015,29(7):1555015 (32 pages).
APA	Wang, Kunfeng,Yao, Yanjie,&Wang, Kunfeng.(2015).Video-Based Vehicle Detection Approach with Data-Driven Adaptive Neuro-Fuzzy Networks.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,29(7),1555015 (32 pages).
MLA	Wang, Kunfeng,et al."Video-Based Vehicle Detection Approach with Data-Driven Adaptive Neuro-Fuzzy Networks".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 29.7(2015):1555015 (32 pages).

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