视频和地磁融合停车检测机制探索研究
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摘要
通过研究视频、地磁等多种停车检测技术基本原理和实际应用情况,深入分析了视频和地磁检测技术的适用性和挑战性问题,探索了视频和地磁技术动态融合检测机制,并搭建了视频和地磁停车检测试验环境,针对不同天气和不同停车模式进行了大量测试;实地测试结果验证了融合机制可有效发挥视频与地磁技术优势,精确获取停车监测信息,提升检测效率;该机制在强化路侧停车管理与收费监管、促进路侧停车规范有序、提高车位信息检测准确性与可靠性等方面,均具有较强的研究价值和广泛的应用前景。
Researching on the principle and application of parking detection technologies,a dynamic parking detection approach fusing the two technologies was presented in this paper,based on the analysis of the challenges and applicability for video and geomagnetic technologies.Experimental environment of parking detection was built and a large number of tests were carried out for different weather and parking mode.The experiments demonstrated the method could obtain accurate parking detection information and enhance the detection efficiency.The multi-technology fusion detection mechanism has strong research value and wide application on promoting the parking supervision and management and improving the accuracy and reliability for parking detection.
Researching on the principle and application of parking detection technologies,a dynamic parking detection approach fusing the two technologies was presented in this paper,based on the analysis of the challenges and applicability for video and geomagnetic technologies.Experimental environment of parking detection was built and a large number of tests were carried out for different weather and parking mode.The experiments demonstrated the method could obtain accurate parking detection information and enhance the detection efficiency.The multi-technology fusion detection mechanism has strong research value and wide application on promoting the parking supervision and management and improving the accuracy and reliability for parking detection.
引文
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[12]朱丽丹.无线地磁技术在城市交通管理方面的应用[J].信息安全与技术,2013,4(3):83-85.
[13]王维锋,万剑,谢斌,等.基于矢量运算和多级阈值判断的地磁车位占用检测算法研究[J].交通信息与安全,2016,34(5):53-60.
[14]茅嘉磊.基于视频分析的路侧停车自动计时取证[J].上海船舶运输科学研究所学报,2017(1):78-81.
[2]Sivaraman S,Trivedi M M.Looking at Vehicles on the Road:A Survey of Vision-Based Vehicle Detection,Tracking,and Behavior Analysis[J].IEEE Transactions on Intelligent Transportation Systems,2013,14(4):1773-1795.
[3]季凡.自助交费占道停车管理系统的关键技术[J].黑龙江交通科技,2016,39(11):145-146.
[4]Kahl F,Hartley R,Hilsenstein V.Novelty detection in image sequences with dynamic background[A].Proceedings of the Conference on Statistical Methods in Video Processing[C].Berlin:Springer-Verlag Berlin,2004:117-128.
[5]Costantini G,Casali D,Perfetti R.Analogic CNN algorithm for estimating position and size of moving objects[J].International Journal of Circuit Theory and Applications,2004,32(6):509-522.
[6]王卫锋,黄翰,郝志峰,谭志标.仿昆虫复眼的交通视频停车事件检测方法[J].计算机工程与应用,2012,48(6):246-248.
[7]赵敏,张波,唐毅,等.露天场景下高速公路违章停车视频检测算法[J].计算机测量与控制,2014,22(2):489-492.
[8]Carletti V,Foggia P,Greco A,et al.Automatic Detection of Long Term Parked Cars[A].Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance[C].Karlsruhe:IEEE Computer Society,2015:1-6.
[9]Wu Q,Huang C H,Wang S Y,et al.Robust parking space detection considering inter-space correlation[A].Proceedings of the IEEE International Conference on Multimedia&Expo[C].Hong Kong:IEEE Societies,2007:659-662.
[10]Huang C C,Wang S J.A hierarchical Bayesian generation framework for vacant parking space detection[J].IEEE Transactions on Circuits and Systems for Video Technology,2010,20(12):1770-1785.
[11]姜明新,王洪玉,沐方顺.基于视频监控的违章停车检测算法[J].计算机工程,2012,38(19):151-153.
[12]朱丽丹.无线地磁技术在城市交通管理方面的应用[J].信息安全与技术,2013,4(3):83-85.
[13]王维锋,万剑,谢斌,等.基于矢量运算和多级阈值判断的地磁车位占用检测算法研究[J].交通信息与安全,2016,34(5):53-60.
[14]茅嘉磊.基于视频分析的路侧停车自动计时取证[J].上海船舶运输科学研究所学报,2017(1):78-81.