Video-Based Vehicle Detection Approach with Data-Driven Adaptive Neuro-Fuzzy Networks
Wang, Kunfeng; Yao, Yanjie; Wang, Kunfeng(王坤峰)
Source PublicationINTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
2015-11-01
Volume29Issue:7Pages:1555015 (32 pages)
SubtypeArticle
AbstractThis 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.
KeywordVehicle Detection Virtual Loop Neuro-fuzzy Network Combined Classifier Semi-supervised Learning
WOS HeadingsScience & Technology ; Technology
DOI10.1142/S0218001415550150
WOS KeywordINTELLIGENT TRANSPORTATION SYSTEMS ; ALGORITHM ; TRACKING
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000361918600009
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10732
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorWang, Kunfeng(王坤峰)
AffiliationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
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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