计算机工程2011，Vol.37Issue(4)：198-200,3.DOI:10.3969/j.issn.1000-3428.2011.04.071
基于SIFT特征的抗遮挡目标跟踪算法
Anti-occlusion Object Tracking Algorithm Based on SIFT Feature
蔺海峰 1马宇峰 1殷璇 2赵新业1
作者信息
- 1. 解放军西安通信学院研究生管理大队,西安,710106
- 2. 南京炮兵学院,南京,211132
- 折叠
摘要
Abstract
In order to solve the problem of object losing in the process of multi-object tracking, a new method based on Scale Invariant Feature Transform(SIFT) features is proposed.The object image is transformed to SIFT features.By setting the feature reserving priority of preference, the features are updated in real time to store the stable features of recent frame.For the problems induced by occlusion, the method can successfully separate and mark different objects according to coordinate relation of matching feature.The algorithm can realize the stable tracking of multi-objects by feature reserving priority of preference instead of prior information.Experimental results show that the method has strong robust and error-tolerance to objects deformation, scale change and occlusion.关键词
多目标跟踪/尺度不变特征变换/非刚性形变/稳定性Key words
multiple objects tracking/ Scale Invariant Feature Transform(SIFT)/ non-rigid deformation/ stability分类
信息技术与安全科学引用本文复制引用
蔺海峰,马宇峰,殷璇,赵新业..基于SIFT特征的抗遮挡目标跟踪算法[J].计算机工程,2011,37(4):198-200,3.
