Robust Automated Ground Plane Rectification Based on Moving Vehicles for Traffic Scene Surveillance
文献类型：会议论文
| 作者 | Zhaoxiang Zhang ; Min Li; Kaiqi Huang; Tieniu Tan
|
| 出版日期 | 2008-10-12 |
| 会议日期 | 12-15 October 2008 |
| 会议地点 | San Diego, California, USA |
| 关键词 | Robustness Land Vehicles Road Vehicles Layout Surveillance Videos Cameras Vehicle Detection Humans Calibration |
| 页码 | 1364-1367 |
| 英文摘要 | Most outdoor visual surveillance scenes involve objects of interest moving on the ground plane. However, perspective distortion introduces many difficulties to various applications like object classification and activity recognition. In this paper, we propose a robust automated method for both affine and metric rectification of the ground plane based on appearance and motion of vehicles in traffic scene surveillance videos. This rectification enables normalization of object properties like size, length and velocity. Various useful applications are presented and experimental results demonstrate the effectiveness and robustness of the proposed method. |
| 会议录 | IEEE International Conference on Image Processing 2008
 |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12712]  |
| 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,Min Li,Kaiqi Huang,et al. Robust Automated Ground Plane Rectification Based on Moving Vehicles for Traffic Scene Surveillance[C]. 见:. San Diego, California, USA. 12-15 October 2008. |
入库方式： OAI收割
来源：自动化研究所
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