Ground Plane Rectification based on Rich Line Representation of Vehicle in Surveillance
文献类型：会议论文
| 作者 | Zhao Liu; Zhaoxiang Zhang ; Yunhong Wang; Xiaolong Li
|
| 出版日期 | 2012-09-24 |
| 会议日期 | 24-26 September 2012 |
| 会议地点 | Beijing, China |
| 关键词 | Ground Plane Rectification Line Detection Affine Rectification |
| 英文摘要 | Outdoor visual surveillance scenes usually contain lots of objects moving on a ground plane. However, the perspective distortion brings in the result that the same object moves faster and looks larger when it is close to the camera, which makes the primary surveillance scenes pictures can’t be used for further research directly. For example, accurate map-making, precise measurement of distance or angles, 3D model estimation and recovery and so on. Therefore, some kind of methods should be provided to eliminate the perspective distortion. In this paper, we make full use of target recognition such as moving vehicles in a video to accomplish rectification. First, we separated the moving targets from the background, then, we detected a lot of line segments from the moving vehicles in each frame, and calculated the vanishing points with parallel line segments and calculated the affine matrix with perpendicular lines, and then, we performed linear regression on the vanishing points and get the vanishing line, at last, we have the perspective matrix and affine matrix calculated and do the rectification to the whole surveillance scene. |
| 会议录 | CCPR 2012
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13293]  |
| 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 | Zhao Liu,Zhaoxiang Zhang,Yunhong Wang,et al. Ground Plane Rectification based on Rich Line Representation of Vehicle in Surveillance[C]. 见:. Beijing, China. 24-26 September 2012. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。