Ground Plane Rectification based on Rich Line Representation of Vehicle in Surveillance

	Ground Plane Rectification based on Rich Line Representation of Vehicle in Surveillance
	Zhao Liu; Zhaoxiang Zhang; Yunhong Wang; Xiaolong Li
	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
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/13293]
专题	自动化研究所_类脑智能研究中心
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.