A Vehicle Trajectory Analysis Approach Based on the Rigid Constraints of Object in 3-D Space
A reliable and effective trajectories similarity metric is one of key factors for vehicle trajectories clustering problem.A trajectory clustering algorithm based on the rigid constraints of vehicles in 3-D space is proposed in this paper,which conducts vehicle trajectories clustering effectively and precisely by using a new 3-D trajectories similarity metric.Based on two key procedures,camera calibration and a reconstruction of 2-D trajectories in 3-D space,a valuable principle that the heights of the trajectories have a linear relationship between them is found through using the kinematic properties of vehicle rigid body in moving.A more valuable information need to be pay attention is that the height of two trajectories that with displacement difference satisfies a plane surface character in 3-D space when conducts a height enumeration.The experimental results show that the trajectories are very stable and reliable for clustering and event detection when reconstructing their relative position in 3-D world coordinate system.
Trajectory clustering Rigid constraints Camera calibration 3-D reconstruction
Wen Jiang Zhang Zhaoyang Song Huansheng Pang Fenglan
School of Information Engineering,Changan University,Xian 710064,China
国际会议
第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)
成都
英文
42-52
2016-11-03（万方平台首次上网日期，不代表论文的发表时间）