计算机应用与软件2018，Vol.35Issue(1)：261-263,311,4.DOI:10.3969/j.issn.1000-386x.2018.01.045
基于改进提升模型的视频目标跟踪算法
VIDEO OBJECT TRACKING ALGORITHM BASED ON MODIFIED BOOSTING MODEL
摘要
Abstract
In order to reduce the cumulative error in video target tracking,a video object tracking algorithm based on modified boosting model is proposed.A classifier based on modified boosting learning model was designed respectively by combining the labeled data and unlabeled data from the idea of semi-supervised learning.Then the two classifiers are combined to form a strong classifier.Finally,the sample collection was integrated into the target tracking classifier learning,which can effectively solve the problem of error accumulation caused by the change of the appearance of the target and improve the robustness of target tracking.关键词
目标跟踪/提升模型/半监督学习/误差累积Key words
Object tracking/Boosting model/Semi-supervised learning/Error accumulation分类
信息技术与安全科学引用本文复制引用
罗建华..基于改进提升模型的视频目标跟踪算法[J].计算机应用与软件,2018,35(1):261-263,311,4.
