Journals & Publications

Title: Remember like Humans: Visual Tracking with Cognitive Psychological Memory Model

Authors: An, N; Sun, SY; Zhao, XG; Hou, ZG

Author Full Names: An, Ning; Sun, Shi-Ying; Zhao, Xiao-Guang; Hou, Zeng-Guang

Source: INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 14 (1):10.1177/1729881417692313 JAN-FEB 2017

Language: English

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.

ISSN: 1729-8814

Article Number: 1729881417692313

IDS Number: EM5DM

Unique ID: WOS:000395332200047

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