Accurate vehicle tracking by shadow removal in the transformed space
文献类型：会议论文
| 作者 | Liu chang; Chen George; Ma yingdong; Ding yajun; Wu jinwu |
| 出版日期 | 2011 |
| 会议名称 | International Conference on Signal and Image Processing and Applications |
| 会议地点 | Chian |
| 英文摘要 | In Intelligent Transportation System (ITS), vehicle tracking is necessary to permit high-level analysis, such as vehicle counting or classification. This paper addresses automatic detection and tracking of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. In order to improve the tracking precision, in the vehicle detection phase, perspective transform and shadow removal are applied to reduce occlusion, which is one of the main reasons for tracking errors. In the vehicle tracking phase, mean-shift with foreground mask is used for building the correspondence between vehicles detected at different time instants. Experimental results from traffic scenes demonstrate the effectiveness and robustness of these methods.(11 refs) |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3631]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | Liu chang,Chen George,Ma yingdong,et al. Accurate vehicle tracking by shadow removal in the transformed space[C]. 见:International Conference on Signal and Image Processing and Applications. Chian. |
入库方式： OAI收割
来源：深圳先进技术研究院
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