Release Time:2019-03-12  Hits:

Indexed by: Journal Article

Date of Publication: 2017-04-01

Journal: IMAGE AND VISION COMPUTING

Included Journals: Scopus、EI、SCIE

Volume: 60

Issue: ,SI

Page Number: 124-133

ISSN: 0262-8856

Key Words: Visual tracking; Structural information; Patch-based model; Linear programming

Abstract: In this paper, we present a novel structured patch-based visual tracking method, which models the appearance of individual patches and their structural relationships within a unified framework. Specifically, this framework is defined as an optimal patch selection task, and can be further formulated as a linear programming problem, tractable and efficient in tracking scenario. To account for the changing appearance of the target object during tracking process, a pyramid local covariance descriptor is proposed to fuse multiple image characteristics. We compare the proposed method with other competing trackers by the recent large-scale benchmark. Extensive experimental results demonstrate that our tracker performs favorably against the state-of-the-art tracking algorithms. (C) 2017 Elsevier B.V. All rights reserved.