CAJ | 학술논문

针对视频目标跟踪问题,提出了一种基于co-training框架下的在线学习跟踪方法.该方法首先根据两种不同的局部特征,利用在线 Boosting算法分别建立模型,然后采用co-training框架来协同训练,有效避免了模型误差累积和跟踪丢帧等问题.实验证明了该方法的有效性.
침대시빈목표근종문제,제출료일충기우co-training광가하적재선학습근종방법.해방법수선근거량충불동적국부특정,이용재선 Boosting산법분별건립모형,연후채용co-training광가래협동훈련,유효피면료모형오차루적화근종주정등문제.실험증명료해방법적유효성.
To video object tracking problem,this paper proposed an on-line learning tracking method based on co-training framework.First of all,the method adopted two different local features to build on-line Boosting model,and then,would train samples making use of co-training learning framework,which avoided the cumulative error of the model and dropping frames problem effectively.Furthermore,some experiments have been maded and the results implyed that the new method is very efficient.