Efficient compressive sensing tracking via mixed classifier decision

• Published in: Science China. Information sciences Vol. 59; no. 7; pp. 139 - 153
• Main Authors: Sun, Hang, Li, Jing, Chang, Jun, Du, Bo, Su, Zhenyang
• Format: Journal Article
• Language: English
• Published: Beijing Science China Press 01.07.2016; Springer Nature B.V
• Subjects: Algorithms; Classifiers; Computer Science; CT算法; Information Systems and Communication Service; Research Paper; Target detection; Tracking; 位置误差; 分类决策; 分类器; 压缩域; 感知; 混合; 跟踪检测; object tracking; dynamic learning rate; appearance model update; mixed classifier decision; compressive sensing
• ISSN: 1674-733X; 1869-1919
• DOI: 10.1007/s11432-015-5424-5

Recent years have witnessed successful use of tracking-by-detection methods, with a number of promising results being achieved. Most of these algorithms use a sliding window to collect samples and then employ these samples to train and update the classifiers. They also use an updated classifier to e...