A New Approach for Vision-Based Rear Vehicle Tracking

摘要：

A thorough research of dynamic target tracking problem in vision system on intelligent vehicle is conducted. A new approach to track of the rear part of a vehicle by a backward-looking video camera is put forward. Considered that the targets relative speed is slow and the shape changes little, the vehicle fast tracking is obtained by locating the edge of target in tracking window. The tracking accuracy is improved by computing the target comparability feature to conduct self-evaluation of the location reliability, and the location deviation is emendated by template match algorithm. The stably tracking of vehicle target in complex background is achieved, and the tracking accuracy is higher than 90 percent. When the tracking window is shifting, the tracking can be resumed automatically by this algorithm.

作者: Mingxiu LIN Linlin ZHU Ying WEI

作者单位: Key Laboratory of Integrated Automation of Process Industry, Ministry of Education,Northeastern University, Shenyang, Liaoning Province, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）