Visual tracking using attention-modulated disintegration and integration
File(s)
Accepted version
Author(s)
Choi, J
Chang, H
Jeong, J
Demiris, Y
Choi, JY
Type
Conference Paper
Abstract
In this paper, we present a novel attention-modulated
visual tracking algorithm that decomposes an object into
into multiple cognitive units, and trains multiple elemen-
tary trackers in order to modulate the distribution of at-
tention according to various feature and kernel types. In
the integration stage it recombines the units to memorize
and recognize the target object effectively. With respect
to the elementary trackers, we present a novel attentional
feature-based correlation filter (AtCF) that focuses on dis-
tinctive attentional features. The effectiveness of the pro-
posed algorithm is validated through experimental compar-
ison with state-of-the-art methods on widely-used tracking
benchmark datasets.
visual tracking algorithm that decomposes an object into
into multiple cognitive units, and trains multiple elemen-
tary trackers in order to modulate the distribution of at-
tention according to various feature and kernel types. In
the integration stage it recombines the units to memorize
and recognize the target object effectively. With respect
to the elementary trackers, we present a novel attentional
feature-based correlation filter (AtCF) that focuses on dis-
tinctive attentional features. The effectiveness of the pro-
posed algorithm is validated through experimental compar-
ison with state-of-the-art methods on widely-used tracking
benchmark datasets.
Date Issued
2016-12-12
Date Acceptance
2016-03-02
Citation
Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016
ISSN
1063-6919
Publisher
IEEE
Journal / Book Title
Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Commission of the European Communities
Identifier
http://ieeexplore.ieee.org/document/7780837/
Grant Number
612139
Source
IEEE Conference on Computer Vision and Pattern Recognition
Publication Status
Published
Start Date
2016-06-26
Finish Date
2016-07-01
Coverage Spatial
Las Vegas, USA