CASIA OpenIR  > 类脑智能研究中心
A Traffic Flow Detection System Combining Optical Flow and Shadow Removal
Zhaoxiang Zhang; Yuqing Hou; Yunhong Wang; Jie Qin
2011-12-01
会议名称Chinese Conference on Intelligent Visual Surveillance
会议录名称IVS 2011
会议日期1-2 December 2011
会议地点Beijing, China
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.
关键词Optical Imaging Image Color Analysis Computer Vision Vehicles Image Motion Analysis Optical Sensors Object Detection
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/13243
专题类脑智能研究中心
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],2011.
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