.png){kind=icon}
返回
Robust Visual Tracking via an Improved Background Aware Correlation Filter
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2019.2900666.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Recently, there emerge many excellent algorithms in the field of visual object tracking. Especially, the background aware correlation filter (BACF) has received much attention, owing to its ability to cope with the boundary effect. However, in the related works, there exist two aspects of imperfections: 1) only histograms of oriented gradients (HOG) is extracted, through which the visual information of targets cannot be fully expressed; and 2) the scale estimation strategy is imperfect in terms of scale parameters, which makes it impossible to accurately track the targets with large-scale changes. To overcome the imperfections, an improved BACF method of robust visual object tracking is proposed to achieve the location of targets with higher accuracy in complex scenarios allowing scale variation, occlusion, rotation, illumination variation, and so on. Crucially, a feature fusion strategy based on HOG and color names is integrated to extract a powerful feature of targets, and a modified scale estimation strategy is designed to enhance the ability to track targets with large-scale changes. The effectiveness and robustness of the proposed method are demonstrated through evaluations on OTB2103 and OTB2015 benchmarks. Particularly, compared with other state-of-theart correlation filter-based trackers and deep learning-based trackers, the proposed method is competitive in terms of accuracy and success rate.
Keyword:
Visual tracking
correlation filter
feature fusion
scale search
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Incentive mechanisms for smartphone collaboration in data acquisition and distributed computing
PREAI
分享收藏
New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Over Camera Network.png)
IEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏Crystalline‐State Reaction with Allosteric Effect in Spin‐Crossover, Interpenetrated Networks with Magnetic and Optical Bistability具有磁和光学双稳态的自旋交叉，互穿网络中具有变构效应的晶态反应
PREAI
分享收藏
查看更多内容