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A Target Re-Identification Method Based on Shot Boundary Object Detection for Single Object Tracking

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成果类型:
期刊论文
作者:
Miao, Bingchen;Chen, Zengzhao;Liu, Hai;Zhang, Aijun
通讯作者:
Zhang, AJ
作者机构:
[Chen, Zengzhao; Miao, Bingchen; Liu, Hai] Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan 430079, Peoples R China.
[Chen, Zengzhao; Liu, Hai] Cent China Normal Univ, Natl Engn Res Ctr Elearning, Wuhan 430079, Peoples R China.
[Chen, Zengzhao] Cent China Normal Univ, Natl Intelligent Soc Governance Expt Base Educ, Wuhan 430079, Peoples R China.
[Zhang, Aijun] China Telecom Corp Henan Branch, Zhengzhou 450016, Peoples R China.
通讯机构:
[Zhang, AJ ] C
China Telecom Corp Henan Branch, Zhengzhou 450016, Peoples R China.
语种:
英文
关键词:
target re-identification;single object tracking;object detection;YOLO;DeepSORT
期刊:
Applied Sciences-Basel
ISSN:
2076-3417
年:
2023
卷:
13
期:
11
页码:
6422-
基金类别:
Conceptualization, B.M. and Z.C.; methodology, B.M. and Z.C.; validation, B.M. and A.Z.; formal analysis, B.M., Z.C. and H.L.; investigation, B.M, Z.C. and H.L.; resources, B.M. and Z.C.; data curation, B.M., Z.C. and H.L.; writing—original draft preparation, B.M.; writing—review and editing, B.M., Z.C. and H.L.; visualization, B.M.; supervision, Z.C. and H.L.; project administration, B.M. and A.Z.; funding acquisition, Z.C., H.L. and A.Z. All authors have read and agreed to the published version of the manuscript. This work was supported by the National Natural Science Foundation of China (grant No. 62077022) and the Research Project of National Collaborative Innovation Experimental Base for Teacher Development of Central China Normal University (grant No. CCNUTEIII 2021-21).
机构署名:
本校为第一机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
With the advantages of simple model structure and performance-speed balance, the single object tracking (SOT) model based on a Transformer has become a hot topic in the current object tracking field. However, the tracking errors caused by the target leaving the shot, namely the target out-of-view, are more likely to occur in videos than we imagine. To address this issue, we proposed a target re-identification method for SOT called TRTrack. First, we built a bipartite matching model of candidate tracklets and neighbor tracklets optimized by the ...

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