计算机工程2012，Vol.38Issue(18)：140-143,4.DOI:10.3969/j.issn.1000-3428.2012.18.038
基于在线学习和结构约束的目标跟踪算法
Target Tracking Algorithm Based on Online Learning and Construction Constraint
摘要
Abstract
In order to accurately track target during a long term in complex environment, this paper presents an algorithm combining detecting and tracking based on online learning and construction constraint. Improved optical flow method is used to adaptively track specific target. The nonhierarchical structure online learning random ferns classifier is used as real time target detecting method. In order to adapt target shape variation, unsupervised learning method based on construction constraint is used to accurately determine the target position. Experimental results show that this algorithm can adapt to the basic target shape variations and track the target steadily when the targets change in size, rotate, shelter partly or disappear in a short term.关键词
随机蕨丛/结构约束/光流法/在线学习/目标跟踪/前向-后向误差Key words
random ferns brake/ construction constraint/ optical flow method/ online learning/ target tracking/ forward-backward error分类
信息技术与安全科学引用本文复制引用
王守超,李小霞..基于在线学习和结构约束的目标跟踪算法[J].计算机工程,2012,38(18):140-143,4.基金项目
国家自然科学基金资助项目“单目高精度大型物体彩色三维数字化测量原理研究”(60808020) （60808020）
