计算机应用与软件2018，Vol.35Issue(2)：206-211,6.DOI:10.3969/j.issn.1000-386x.2018.02.038
基于最优特征更新分类器的压缩跟踪算法
A COMPRESSION TRACKING ALGORITHM BASED ON OPTIMAL FEATURE UPDATING CLASSIFIER
冷建伟 1李鹏2
作者信息
- 1. 天津市复杂系统控制理论及应用重点实验室 天津300384
- 2. 天津理工大学自动化学院 天津300384
- 折叠
摘要
Abstract
Aiming at the problem that the classification accuracy of the compression tracking algorithm classifier was relatively blind,the compression tracking algorithm based on the optimal feature updating classifier was proposed.On the basis of the original algorithm, the deterministic measurement matrix was introduced to improve the compression perceptual performance.In order to avoid the contaminant samples affect the updating of the classifier parameters and not use all the compression features to update the classifier,the optimal compression feature updating classifier was screened out.At the same time,the use of adjacent two-frame target affined transformation so that the tracking window could be real-time changes with the target changes to achieve multi-scale tracking.The experimental results showed that the proposed algorithm could effectively resist the influence of light, occlusion and scale on the tracking, and had higher stability and better robustness,and meet the real-time requirements.关键词
压缩感知/确定性测量矩阵/特征置信度/巴氏系数/仿射变换Key words
Compression perception/Deterministic measurement matrix/Feature confidence/Bhattacharyya coeffi-cient/Affine transformation分类
信息技术与安全科学引用本文复制引用
冷建伟,李鹏..基于最优特征更新分类器的压缩跟踪算法[J].计算机应用与软件,2018,35(2):206-211,6.
