Video-Based Vehicle Detection Approach with Data-Driven Adaptive Neuro-Fuzzy Networks
文献类型：期刊论文
| 作者 | Wang, Kunfeng ; Yao, Yanjie; Wang, Kunfeng(王坤峰)
|
| 刊名 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
 |
| 出版日期 | 2015-11-01 |
| 卷号 | 29期号:7页码:1555015 (32 pages) |
| 关键词 | Vehicle detection virtual loop neuro-fuzzy network combined classifier semi-supervised learning |
| 通讯作者 | Wang, Kunfeng(王坤峰) |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | INTELLIGENT TRANSPORTATION SYSTEMS ; ALGORITHM ; TRACKING |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000361918600009 |
| 公开日期 | 2016-05-03 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/10732]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 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 |
| 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). |
入库方式： OAI收割
来源：自动化研究所
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