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

CASIA OpenIR > 模式识别实验室

	Ground Plane Rectification based on Rich Line Representation of Vehicle in Surveillance
	Zhao Liu; Zhaoxiang Zhang; Yunhong Wang; Xiaolong Li
	2012-09-24
会议名称	Chinese Conference on Pattern Recognition
会议录名称	CCPR 2012
会议日期	24-26 September 2012
会议地点	Beijing, China
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.
关键词	Ground Plane Rectification Line Detection Affine Rectification
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13293
专题	模式识别实验室
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],2012.