A Traffic Flow Detection System Combining Optical Flow and Shadow Removal

	A Traffic Flow Detection System Combining Optical Flow and Shadow Removal
	Zhaoxiang Zhang; Yuqing Hou; Yunhong Wang; Jie Qin
	2011-12-01
会议日期	1-2 December 2011
会议地点	Beijing, China
关键词	Optical Imaging Image Color Analysis Computer Vision Vehicles Image Motion Analysis Optical Sensors Object Detection
英文摘要	Traffic flow detection plays an important role in Intelligent Transportation Systems(ITS). Video based traffic flow detection system is the most widely used strategy in ITS. Under this circumstance, we design and implement a video based traffic flow detection system which is called MyTD in this paper. MyTD takes advantages of both shadow removal and optical flow algorithms. Firstly, we introduce the current development of ITS and focus on the video based traffic detection technology, which is the key to ITS. Secondly, a shadow removal algorithm combining information in both RGB and HSV color spaces is proposed. Thirdly, based on the Iterative Pyramidal LK Optical Flow Algorithm, a vehicle tracking function is realized by OpenCV, as well as a Connected Components Labeling function and the vehicle counting function. Finally, MyTD is implemented and tested based on the algorithm presented above. Experimental results show the outstanding performance of our method comparing with traditional optical flow algorithms.
会议录	IVS 2011
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/13243]
专题	自动化研究所_类脑智能研究中心
通讯作者	Zhaoxiang Zhang
推荐引用方式 GB/T 7714	Zhaoxiang Zhang,Yuqing Hou,Yunhong Wang,et al. A Traffic Flow Detection System Combining Optical Flow and Shadow Removal[C]. 见:. Beijing, China. 1-2 December 2011.