广西科学院学报2016，Vol.32Issue(1)：42-48,7.
自适应实时压缩感知跟踪算法
Adaptive Real-time Compressive Sensing Tracking Al-gorithm
摘要
Abstract
Objective]To solve the problem of real-time compressed sensing tracking algo-rithm,which is the inadaptability of classifier to the changes of the target appearance and the over update.[Methods]Base on Hamming distance between the Hash fingerprints of current target and original one,classifier is adjusted in real time,which improved the adaptive ca-pacity of the real-time compressed sensing tracking.[Results]As compared with the real-time compressive sensing tracking algorithm,the proposed algorithm improves the success rate by 13%,and average computing frame rate is 37 frames when the target scale is 40 pixel×43 pixel,which satisfies the requirements of real-time tracking.[Conclusion]The proposed algo-rithm is tested with variant video sequences.The results show that the proposed algorithm is capable of speedily and accurately capturing the tracking target by target gestures,textures, or significant light change.关键词
压缩感知/目标跟踪/哈希指纹/汉明距离/自适应/实时压缩Key words
compressive sensing/target tracking/Hash fingerprint/Hamming distance/adap-tive/real-time compressive分类
信息技术与安全科学引用本文复制引用
梁剑平,朱晓姝..自适应实时压缩感知跟踪算法[J].广西科学院学报,2016,32(1):42-48,7.基金项目
广西高校科学技术研究项目(201204LX339和 YB2014321)资助。 （201204LX339和 YB2014321）
