计算机工程2012，Vol.38Issue(23)：194-197,4.DOI:10.3969/j.issn.1000-3428.2012.23.048
检测识别跟踪分离的在线多样本视频目标跟踪
Online Multiple Sample Video Target Tracking with Separation of Detection Recognition and Tracking
摘要
Abstract
There is the drift phenomenon in video target tracking, and learning algorithm needs offline training. In order to solve this problem, a online multiple sample video target tracking method for separation of detection, recognition and tracking is proposed. In this method, multiple sample approach tries to resolve the inherent ambiguities of many practical learning in the process of update instance. And the beyond semi-supervised learning tends to settle the "drifting" problem. Experimental results show that this method is more robust, can effectively solve the "drifting" problem, and track the target real-time online.关键词
多样本/分类器/在线学习/目标跟踪/boosting方法Key words
multiple sample/ classifier/ online learning/ target tacking/ boosting method分类
信息技术与安全科学引用本文复制引用
刘国营,陈秀宏,庄甘霖..检测识别跟踪分离的在线多样本视频目标跟踪[J].计算机工程,2012,38(23):194-197,4.基金项目
中央高校基本科研业务费专项基金资助项目(JUSRP211A70) （JUSRP211A70）
