文献类型：会议论文

英文题名：Real-Time Non-Motor Vehicle Violation Detection in Traffic Scenes

作者：Wang, Jingye[1];Chen, Zhihua[1];Li, Ping[2];Sheng, Bin[3];Chen, Ruoxi[1]

机构：[1]East China Univ Sci & Technol, Dept CSE, Shanghai, Peoples R China;[2]Macau Univ Sci & Technol, Fac Informat Technol, Macau, Peoples R China;[3]Shanghai Jiao Tong Univ, Dept CSE, Shanghai, Peoples R China

会议论文集：IEEE International Conference on Industrial Cyber Physical Systems (ICPS)

会议日期：MAY 06-09, 2019

会议地点：Taipei, TAIWAN

语种：英文

外文关键词：distributed system; violation detection; motion detection; image block matching

摘要：The blockchain technology in the traffic scene is developing rapidly recently. In this area, distributed system based technology like blockchain has been standing out with its decentralization, data-innovation and data transparency. We propose a real-time non-motor vehicle violation detecting approach, which can detect and collect violation information of non-motor vehicle and has been integrated into the distributed smart traffic management system. We propose a luminance balancing in the pre-processing steps to address the problem of brightness change in the background. We use the refined code-book algorithm to detect the motion part, and then propose a violation judging criteria based on feature matching to obtain the violation information. Experiments and application have shown the effectiveness and efficiency of our approach.