您当前的位置：
首页 >
文章列表页 >
Adaptive content aware spatially-regularized correlation filter for object tracking
更新时间：2025-05-26

    • Adaptive content aware spatially-regularized correlation filter for object tracking

    • “In the field of target tracking, researchers have proposed an adaptive content aware space regularization correlation filtering algorithm, which effectively improves tracking performance.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 10, Pages: 3037-3049(2024)
    • 作者机构：

      1.大连民族大学 信息与通信工程学院，辽宁 大连 116600

      2.大连东软信息学院 软件学院，辽宁 大连 116023

    • DOI：10.13229/j.cnki.jdxbgxb.20221518    

      CLC： TP391

    • Received：27 November 2022，

      Published：01 October 2024

    移动端阅览

  • WANG Fa-sheng,HE Bing,SUN Fu-ming,et al.Adaptive content aware spatially-regularized correlation filter for object tracking[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(10):3037-3049. DOI： 10.13229/j.cnki.jdxbgxb.20221518.

  •  
  •  

0

Views

7

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Anti⁃cropping digital image watermarking based on saliency detection
Energy⁃efficient offloading strategy research for multi⁃UAV assisted communication
Method of lane detection based on adaptive fusion of double branch features
Image manipulation localization method based on boundary uncertainty learning
RAUGAN：infrared image colorization method based on cycle generative adversarial networks

Related Author

HUANG Rui
YU Ruo-xue
FAN Wei
XING Yan
CHEN Zi-yin
ZENG Yao-ping
XIA Yu-ting
CHEN Shi-sen

Related Institution

School of Computer and Artificial Intelligence， Civil Aviation University of China
School of Safety Science and Engineering， Civil Aviation University of China
College of Electronic Information and Automation ， Civil Aviation University of China
School of Communication and Information Engineering， Xi'an University of Posts & Telecommunications
School of Traffic and Transportation， Chongqing Jiaotong University
0