点击次数：

论文类型：会议论文

发表时间：2010-01-01

收录刊物：EI、Scopus

页面范围：153-156

摘要：In this paper, we propose a visual tracking approach based on "bag of features" (BoF) algorithm. We randomly sample image patches within the object region in training frames for constructing two codebooks using RGB and LBP features, instead of only one codebook in traditional BoF. Tracking is accomplished by searching for the highest similarity between candidates and codebooks. Besides, updating mechanism and result refinement scheme are included in BoF tracking. We fuse patch-based approach and global template-based approach into a unified framework. Experiments demonstrate that our approach is robust in handling occlusion, scaling and rotation. ? 2010 IEEE.