计算机工程与应用Issue(2)：214-218,5.DOI:10.3778/j.issn.1002-8331.1401-0294
基于局部敏感直方图的压缩跟踪
Compressive tracking based on locality sensitive histograms
摘要
Abstract
As traditional tracking algorithm based on compressive sensing is failed to track target stably when illumina-tion and target position get seriously changed, a reformative target tracking algorithm based on locality sensitive histo-grams is proposed. By calculating the locality sensitive histograms, extracting illumination invariant features, the jointed features are used in compressive tracking. Results of tests on variant video sequences show that the proposed algorithm has advantages over compressive tracking and multiple instance learning tracking in target positions and lightings changing heavily. Obtained results satisfy the requirements of real-time tracking.关键词
压缩跟踪/漂移/局部敏感直方图/光照不变特征/多示例学习Key words
compressive tracking/drift/locality sensitive histograms/illumination invariant features/multiple instance learning分类
信息技术与安全科学引用本文复制引用
钱凯,陈秀宏,孙百伟..基于局部敏感直方图的压缩跟踪[J].计算机工程与应用,2016,(2):214-218,5.基金项目
国家自然科学基金（No.61373055）。 （）
