Title
EACOFT: An energy-aware correlation filter for visual tracking
Abstract
•Energy-aware-correlation-filter tracker to adaptively adjust the target for tracking.•New strategy to reject low quality samples and ensure model discriminant ability.•Combining bottom-up and top-down optimal strategy for training and robust tracking.•Outperform many state-of-the-art trackers on several challenging datasets.
Year
DOI
Venue
2021
10.1016/j.patcog.2020.107766
Pattern Recognition
Keywords
DocType
Volume
Visual tracking,Energy-aware correlation filter (EACOFT),Enhanced feature,Top-down and bottom-up strategy
Journal
112
Issue
ISSN
Citations 
1
0031-3203
1
PageRank 
References 
Authors
0.35
0
6
Name
Order
Citations
PageRank
Qiaoyuan Liu110.35
Jinchang Ren2114488.54
Yuru Wang310.35
Yuanbo Wu410.35
Haijiang Sun510.35
Huimin Zhao620623.43