中国科学院机构知识库网格系统: Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE)

中国科学院机构知识库网格

Chinese Academy of Sciences Institutional Repositories Grid

Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE)

文献类型：会议论文


作者	Rong-Hui Z. ; Bai Y. ; Hong-guang J. ; Chen T.
出版日期	2009
会议名称	4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008
会议地点	Chengdu, China
关键词	In the transportation monitor system we set up the area of interest (AOI) of the vehicle model and adjust the size of AOI dynamically in order to track vehicle accurately. The results of experiment show that motive vehicle detection by adopting digital image is one of key technologies. To detect motive vehicle accurately the arithmetic proposed in the paper can suppress shadow availably we establish an adaptive background updating model firstly. Noise is suppressed by using modality filter detect motive vehicle accurately and satisfy real-time motive vehicle tracking. 2009 SPIE. and we obtain binary image by using maximum entropy to choose dynamic adaptive threshold. Based on positive information of shadow and aspect feature of motive vehicle we adopt HSV colour space and double threshold to solve the problem of vehicle shadow. According to prediction result of Kalman filtering
收录类别	EI
源URL	[http://ir.ciomp.ac.cn/handle/181722/33852]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式 GB/T 7714	Rong-Hui Z.,Bai Y.,Hong-guang J.,et al. Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE)[C]. 见:4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008. Chengdu, China.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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