通信学报2011，Vol.32Issue(10)：166-173,8.
基于自适应分块外观模型的视觉跟踪
Fragment-based visual tracking with adaptive appearance model
摘要
Abstract
A joint object was proposed which combine the target and the occluder in order to exploit the characteristics of the occluder to evolve the target template. To this end, the Gaussians mixture model (GMM) was introduced to enable an adaptive learning mechanism. Each pixel of the template is modeled using a GMM with three components. Once the template-matching is achieved in the current frame, the pixel value is used to update a specific component in its GMM. After that, the pixel will also be updated. Experimental results show that the proposed method is robust with respect to the partial occlusions and natural appearance changes.关键词
部分遮挡/高斯混合模型/基于块的模板Key words
partial occlusions/ GMM/ fragment-based template分类
信息技术与安全科学引用本文复制引用
赵凌,冯镔,邱锦波..基于自适应分块外观模型的视觉跟踪[J].通信学报,2011,32(10):166-173,8.基金项目
国家自然科学基金资助项目(60903172,60972016) （60903172,60972016）
国家高技术研究发展计划("863"计划)基金资助项目(2009AA012205) （"863"计划）
中央高校基本科研业务费专项基金资助项目(2010MS092) （2010MS092）
湖北省自然科学基金资助项目(2008CDB329) （2008CDB329）
