关键词: 特征融合, 在线多示例学习, 目标跟踪

Abstract: For the object tracking problems in computer vision, feature Weighted Fusion online Multiple Instance Learning tracking algorithm（WFMIL） is proposed. WFMIL trains two features（Hog and Haar） classifier separately by multiple instance learning method. In the tracking process, they are integrated into a strong classifier by the linear operation. While in the learning process, weight is introduced into instances of positive package. Experimental results show that WFMIL can solve the object drift and has a certain robustness in handling occlusion, target abrupt motion, illumination change, and motion blur.

Key words: feature fusion, online multiple instance learning, object tracking