Practical Camera Auto-Calibration based on Object Appearance and Motion for Traffic Scene Visual Surveillance

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	Practical Camera Auto-Calibration based on Object Appearance and Motion for Traffic Scene Visual Surveillance
	Zhaoxiang Zhang; Min Li; Kaiqi Huang; Tieniu Tan
	2008-06-24
会议名称	IEEE Computer Society Conference on Computer Vision and Pattern Recognition
会议录名称	IEEE Conference on Computer Vision & Pattern Recognition 2008
页码	1-8
会议日期	24-26 June 2008
会议地点	Anchorage, Alaska, USA
摘要	Camera calibration, as a fundamental issue in computer vision, is indispensable in many visual surveillance applications. Firstly, calibrated camera can help to deal with perspective distortion of object appearance on image plane. Secondly, calibrated camera makes it possible to recover metrics from images which are robust to scene or view an gle changes. In addition, with calibrated cameras, we can make use of prior information of 3D models to estimate 3D pose of objects and make object detection or tracking more robust to noise and occlusions. In this paper, we propose an automatic method to recover camera models from traffic scene surveillance videos. With only the camera height H measured, we can completely recover both intrinsic and extrinsic parameters of cameras based on appearance and motion of objects in videos. Experiments are conducted in different scenes and experimental results demonstrate the effectiveness and practicability of our approach, which can be adopted in many traffic scene surveillance applications.
关键词	Cameras Layout Surveillance Noise Robustness Videos Calibration Computer Vision Application Software Object Detection Traffic Control
语种	英语
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12711
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. Practical Camera Auto-Calibration based on Object Appearance and Motion for Traffic Scene Visual Surveillance[C],2008:1-8.