Remember like humans: Visual tracking with cognitive psychological memory model. (14th February 2017)

• Record Type: Journal Article
• Authors: An, Ning; Sun, Shi-Ying; Zhao, Xiao-Guang; Hou, Zeng-Guang
• Is Part Of: International journal of advanced robotic systems. Volume 14:Number 1(2017:Jan./Feb.)
• Publication Date: 2017-02-14
• Subjects: Visual object tracking -- biologically inspired vision -- cognitive psychological memory model -- 3-D perception.; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.1177/1729881417692313
• Languages: English
• ISSNs: 1729-8806

Abstract

Visual tracking is a challenging computer vision task due to the significant observation changes of the target. By contrast, the tracking task is relatively easy for humans. In this article, we propose a tracker inspired by the cognitive psychological memory mechanism, which decomposes the tracking task into sensory memory register, short-term memory tracker, and long-term memory tracker like humans. The sensory memory register captures information with three-dimensional perception; the short-term memory tracker builds the highly plastic observation model via memory rehearsal; the long-term memory tracker builds the highly stable observation model via memory encoding and retrieval. With the cooperative models, the tracker can easily handle various tracking scenarios. In addition, an appearance-shape learning method is proposed to update the two-dimensional appearance model and three-dimensional shape model appropriately. Extensive experimental results on a large-scale benchmark data set demonstrate that the proposed method outperforms the state-of-the-art two-dimensional and three-dimensional trackers in terms of efficiency, accuracy, and robustness.