A Traffic Flow Detection System Combining Optical Flow and Shadow Removal
文献类型：会议论文
| 作者 | Zhaoxiang Zhang ; Yuqing Hou; Yunhong Wang; Jie Qin
|
| 出版日期 | 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
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13243]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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