计算机与现代化Issue(7)：58-62,67,6.DOI:10.3969/j.issn.1006-2475.2014.07.013
基于压缩传感的多样本目标跟踪算法
Multiple Instance Target Tracking Algorithm Based on Compressed Sense
摘要
Abstract
Aiming at the problems of unstable tracking , easy to drift , obscured loss , which are produced in real-time target track-ing, we propose an improved tracking algorithm for multiple instances .In the compressed sensing and real-time tracking, by adding random measurement matrix to produce new features , multiple positive and negative instances are integrated .By combi-ning with the boosting learning method to update the feature weights and improve the confidence map estimation , we solve the problems of target drift and loss .Experimental results show that the proposed algorithm achieves better robustness and stable real -time tracking when the target moves quickly , or in conditions that the textures and lightings change seriously , as well as it is par-tially covered .关键词
目标跟踪/压缩传感/多样本/实时跟踪/漂移/目标遮挡Key words
target tracking/compressive sensing/multiple instance/real-time tracking/drift/target occlusion分类
信息技术与安全科学引用本文复制引用
陈茜,狄岚..基于压缩传感的多样本目标跟踪算法[J].计算机与现代化,2014,(7):58-62,67,6.基金项目
江苏省六大人才高峰项目（DZXX-028）；江南大学教师卓越工程项目 （）
