光学与光电技术, 2019, 17 (1): 31, 网络出版: 2019-05-10
海面背景下目标抗遮挡跟踪算法的研究
Research on Anti-Occlusion Tracking Algorithm in Complex Scenes
不变矩 快速金字塔分层搜索 归一化交叉相关(NCC) 查找表 相关匹配 invariant moment fast pyramid-layered searching NCC (normalized correlation coefficient) look-up table correlation matching
摘要
目标跟踪系统中比较难解决的一个问题就是遮挡,当一个目标被另一个物体部分或全部遮挡时,跟踪的特性就会不完整或彻底消失,导致目标跟踪失败。为了解决这一问题,采用不变矩和归一化相关(NCC)对目标遮挡进行判断,然后采用目标位置和速度进行航迹外推,对大量外场视频进行仿真并把算法移植到硬件平台。结果表明,通过上述方法可以有效解决目标跟踪遇到的遮挡问题。
Abstract
Occlusion is a difficult problem to be solved in the target tracking system. When a target is partially or completely occluded by another object, the tracking characteristics will be incomplete or completely disappear, leading to the failure of target tracking. In order to solve this problem, invariant moment and NCC (normalized correlation coefficient) are used to judge the target occlusion, and then the target position and velocity are used to extrapolate the track. A large number of field video were simulated and the algorithm was transplanted to hardware platform. Experiments. results show that the above methods can effectively solve the occlusion problem in target tracking.
郑存红, 赵瑞峰, 夏平. 海面背景下目标抗遮挡跟踪算法的研究[J]. 光学与光电技术, 2019, 17(1): 31. ZHENG Cun-Hong, ZHAO Rui-Feng, XIA Ping. Research on Anti-Occlusion Tracking Algorithm in Complex Scenes[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2019, 17(1): 31.