Spinning tri-layer-circle memory modeling for template updating during moving object tracking

Inspired by the mechanism of human brain three-stage memory model, this paper develops a spinning tri-layer-circle memory model(STLC-MM) and applies it for template updating during object tracking. Three memory spaces are defined to store and process the object templates used in the tracking framework. Each memory space, which has a fixed input window and a fixed output window, is denoted by a circle and can spin with different speed. With three circle memory spaces spinning, templates in the three memory spaces are updated by imitating the cognitive process of memorization, recall, and forgetting. Then all the templates in the output windows of the three memory spaces are compared with the estimated template respectively, and the most similar template is selected as the final output of the STLC-MM. Finally, STLC-MM is incorporated into a particle filter (PF) framework in order to verify the effect of our proposed model. Experimental results show that the proposed method is more robust to sudden appearance changes and serious occlusions.