湖南大学学报（自然科学版）2017，Vol.44Issue(10)：139-149,11.DOI:10.16339/j.cnki.hdxbzkb.2017.10.019
基于ORB特征点匹配的多目标跟踪算法
Multi-target Tracking Algorithm Based on ORB Feature Points Matching
摘要
Abstract
Video multi-target tracking is an important problem in the field of computer vision.In order to solve the problem where the target is easy to lose due to target scaling,rotation,distortion and occlusion,this paper proposed a multi-target tracking algorithm based on ORB feature point.First,the "moving edge growth" algorithm was used to obtain target blocks.Next,targets were associated by matching the ORB features of target blocks with feature templates.The matching process enables target templates to be updated in the real time by eliminating the old feature information from the noise and adding new feature information.In this way,effectiveness of feature template is guaranteed in the real time,resulting in greater reliability of matching during the tracking process.Experimental results demonstrate the ability of the proposed algorithm to robustly track targets even if the targets are deformed or partially occluded.关键词
显著性/特征点/匹配/目标跟踪Key words
saliency/feature point/matching/target tracking分类
信息技术与安全科学引用本文复制引用
李鹏,王延江..基于ORB特征点匹配的多目标跟踪算法[J].湖南大学学报（自然科学版）,2017,44(10):139-149,11.基金项目
国家自然科学基金资助项目(61271407,61671480),National Natural Science Foundation of China(61271407,61671480) （61271407,61671480）
