| 注册
首页|期刊导航|液晶与显示|基于双分支在线优化和特征融合的视频目标跟踪算法

基于双分支在线优化和特征融合的视频目标跟踪算法

李新鹏 王鹏 李晓艳 孙梦宇 陈遵田 郜辉

液晶与显示2024,Vol.39Issue(8):1079-1089,11.
液晶与显示2024,Vol.39Issue(8):1079-1089,11.DOI:10.37188/CJLCD.2023-0256

基于双分支在线优化和特征融合的视频目标跟踪算法

Video object tracking algorithm based on dual-branch online optimization and feature fusion

李新鹏 1王鹏 1李晓艳 1孙梦宇 1陈遵田 2郜辉1

作者信息

  • 1. 西安工业大学 电子信息工程学院,陕西 西安 710021
  • 2. 西安机电信息技术研究所,陕西 西安 710065
  • 折叠

摘要

Abstract

In response to the issue of inadequate discrimination capability in the D3S algorithm for tracking target,a video object tracking algorithm based on dual-branch online optimization and feature fusion is proposed.Firstly,a dual-branch online optimization classifier is constructed,which achieves secondary location of the target,resulting in a more accurate target position response map.Secondly,the fusion of the response map and search features is realized on the feature layer,and the encoder module promotes the fusion process,further highlighting the features of tracking target.Finally,by updating the template features with the encoder module,the differences between features are fitted,thereby enhancing the discriminative capability of the segmentation module.Experimental evaluations are conducted on the VOT2018 and UAV123 datasets.Compared with the original algorithm,the improved algorithm improves EAO by 2.9%on the VOT2018 dataset,increases success rate by 2.4%and accuracy by 2.9%on the UAV123 dataset.The experimental results demonstrate that the method in this paper improves the algorithm's discriminative ability and further improves accuracy and robustness.

关键词

视频目标跟踪/目标分割/在线优化/特征融合/注意力机制

Key words

object tracking/object segmentation/online optimization/feature fusion/mechanism of attention

分类

信息技术与安全科学

引用本文复制引用

李新鹏,王鹏,李晓艳,孙梦宇,陈遵田,郜辉..基于双分支在线优化和特征融合的视频目标跟踪算法[J].液晶与显示,2024,39(8):1079-1089,11.

基金项目

国家自然基金(No.62171360) (No.62171360)

陕西省科技厅重点研发计划(No.2024GX-YBXM-162) (No.2024GX-YBXM-162)

陕西省电子设备智能测试与可靠性评估工程技术研究中心项目(2023-ZC-GCZX-0047) (2023-ZC-GCZX-0047)

2022年度陕西高校青年创新团队项目 ()

山东省智慧交通重点实验室(筹)项目 (筹)

2023年陕西省高校工程研究中心项目 ()

西安市军民两用智能测评技术重点实验室项目Supported by National Natural Science Foundation of China(No.62171360) (No.62171360)

Key Research and Development Program of Shaanxi Provincial Science and Technology Department(No.2024GX-YBXM-162) (No.2024GX-YBXM-162)

Project of Engineering Technology Research Center of Shaanxi Province for Intelligent Testing and Reliability Evaluation of Electronic Equipments(No.2023-ZC-GCZX-0047) (No.2023-ZC-GCZX-0047)

Project of 2022 Shaanxi University Youth Innovation Team ()

Project of Shandong Key Laboratory of Smart Transportation(Preparation) (Preparation)

Project of 2023 Shaanxi University Engineering Research Center ()

Project of Xi'an Key Laboratory of Military Civilian Dual-Use Intelligent Evaluation Technology ()

液晶与显示

OA北大核心CSTPCD

1007-2780

访问量4
|
下载量0
段落导航相关论文