Robust Visual Correlation Tracking
Joint Authors
Zhang, Lei
Wang, Yanjie
Sun, Honghai
Yao, Zhijun
He, Shuwen
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-30
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Recent years have seen greater interests in the tracking-by-detection methods in the visual object tracking, because of their excellent tracking performance.
But most existing methods fix the scale which makes the trackers unreliable to handle large scale variations in complex scenes.
In this paper, we decompose the tracking into target translation and scale prediction.
We adopt a scale estimation approach based on the tracking-by-detection framework, develop a new model update scheme, and present a robust correlation tracking algorithm with discriminative correlation filters.
The approach works by learning the translation and scale correlation filters.
We obtain the target translation and scale by finding the maximum output response of the learned correlation filters and then online update the target models.
Extensive experiments results on 12 challenging benchmark sequences show that the proposed tracking approach reduces the average center location error (CLE) by 6.8 pixels, significantly improves the performance by 17.5% in the average success rate (SR) and by 5.4% in the average distance precision (DP) compared to the second best one of the other five excellent existing tracking algorithms, and is robust to appearance variations introduced by scale variations, pose variations, illumination changes, partial occlusion, fast motion, rotation, and background clutter.
American Psychological Association (APA)
Zhang, Lei& Wang, Yanjie& Sun, Honghai& Yao, Zhijun& He, Shuwen. 2015. Robust Visual Correlation Tracking. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1073292
Modern Language Association (MLA)
Zhang, Lei…[et al.]. Robust Visual Correlation Tracking. Mathematical Problems in Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1073292
American Medical Association (AMA)
Zhang, Lei& Wang, Yanjie& Sun, Honghai& Yao, Zhijun& He, Shuwen. Robust Visual Correlation Tracking. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1073292
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073292