Object Tracking Method Based on Structural Appearance Model with Weighted Associated Features

A structural appearance model with weighted associated features is proposed to deal with illumination variation and partial occlusion questions in single object tracking. The tracked object image is divided into small image blocks. Thereafter, the color features and textural features are calculated within each block. Next, these features are weighted and a vector is composed, which is presumed the appearance model of the tracked object. Subsequently, through the application of Bayes' theorem, a tracking method based on the appearance model is proposed. Finally, the effectiveness of the proposed tracking method is demonstrated through experimental results.