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Robust Automated Ground Plane Rectification Based on Moving Vehicles for Traffic Scene Surveillance
Zhaoxiang Zhang; Min Li; Kaiqi Huang; Tieniu Tan
2008-10-12
会议名称15th IEEE International Conference on Image Processing
会议录名称IEEE International Conference on Image Processing 2008
页码1364-1367
会议日期12-15 October 2008
会议地点San Diego, California, USA
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.
关键词Robustness Land Vehicles Road Vehicles Layout Surveillance Videos Cameras Vehicle Detection Humans Calibration
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12712
专题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],2008:1364-1367.
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