Multi-scale Correlation Filter Tracking with Adaptive Re-detection Mechanism

Ruoling Yang; Tingfa Xu; Yu Bai; Axin Fan; Bo Yuan

doi:10.1109/ICIASE45644.2019.9074120

Multi-scale Correlation Filter Tracking with Adaptive Re-detection Mechanism

Ruoling Yang, Tingfa Xu, Yu Bai, Axin Fan, Bo Yuan

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Tracking is a popular research topic in artificial intelligence, but how to handle the severe occlusion and deformation remains a challenging problem. Focusing on this issue, we propose a multi-scale correlation filter tracker using a re-detection module. Specifically, we utilize a reliable confidence strategy to estimate the reliability of initial results, and introduce a novel template matching technique to solve the target relocation problem. Experiment results demonstrate that our method can outperform several classic trackers.

源语言	英语
主期刊名	Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019
编辑	Teen-Hang Meen
出版商	Institute of Electrical and Electronics Engineers Inc.
页	305-308
页数	4
ISBN（电子版）	9781538681398
DOI	https://doi.org/10.1109/ICIASE45644.2019.9074120
出版状态	已出版 - 4月 2019
活动	2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019 - Fuzhou, Fujian, 中国期限: 26 4月 2019 → 29 4月 2019

出版系列

姓名	Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019

会议

会议	2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019
国家/地区	中国
市	Fuzhou, Fujian
时期	26/04/19 → 29/04/19

访问文件

10.1109/ICIASE45644.2019.9074120

其它文件与链接

链接到 Scopus 的出版物

引用此

Yang, R., Xu, T., Bai, Y., Fan, A., & Yuan, B. (2019). Multi-scale Correlation Filter Tracking with Adaptive Re-detection Mechanism. 在 T.-H. Meen (编辑), Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019 (页码 305-308). 文章 9074120 (Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIASE45644.2019.9074120

Yang, Ruoling ; Xu, Tingfa ; Bai, Yu 等. / Multi-scale Correlation Filter Tracking with Adaptive Re-detection Mechanism. Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019. 编辑 / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2019. 页码 305-308 (Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019).

@inproceedings{28164873cb1c41588f3be360fa464ccd,

title = "Multi-scale Correlation Filter Tracking with Adaptive Re-detection Mechanism",

abstract = "Tracking is a popular research topic in artificial intelligence, but how to handle the severe occlusion and deformation remains a challenging problem. Focusing on this issue, we propose a multi-scale correlation filter tracker using a re-detection module. Specifically, we utilize a reliable confidence strategy to estimate the reliability of initial results, and introduce a novel template matching technique to solve the target relocation problem. Experiment results demonstrate that our method can outperform several classic trackers.",

keywords = "adaptive re-detection, correlation filter, template matching",

author = "Ruoling Yang and Tingfa Xu and Yu Bai and Axin Fan and Bo Yuan",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019 ; Conference date: 26-04-2019 Through 29-04-2019",

year = "2019",

month = apr,

doi = "10.1109/ICIASE45644.2019.9074120",

language = "English",

series = "Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "305--308",

editor = "Teen-Hang Meen",

booktitle = "Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019",

address = "United States",

}

Yang, R, Xu, T, Bai, Y, Fan, A & Yuan, B 2019, Multi-scale Correlation Filter Tracking with Adaptive Re-detection Mechanism. 在 T-H Meen (编辑), Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019., 9074120, Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019, Institute of Electrical and Electronics Engineers Inc., 页码 305-308, 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019, Fuzhou, Fujian, 中国, 26/04/19. https://doi.org/10.1109/ICIASE45644.2019.9074120

Multi-scale Correlation Filter Tracking with Adaptive Re-detection Mechanism. / Yang, Ruoling; Xu, Tingfa; Bai, Yu 等.
Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019. 编辑 / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2019. 页码 305-308 9074120 (Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Multi-scale Correlation Filter Tracking with Adaptive Re-detection Mechanism

AU - Yang, Ruoling

AU - Xu, Tingfa

AU - Bai, Yu

AU - Fan, Axin

AU - Yuan, Bo

PY - 2019/4

Y1 - 2019/4

N2 - Tracking is a popular research topic in artificial intelligence, but how to handle the severe occlusion and deformation remains a challenging problem. Focusing on this issue, we propose a multi-scale correlation filter tracker using a re-detection module. Specifically, we utilize a reliable confidence strategy to estimate the reliability of initial results, and introduce a novel template matching technique to solve the target relocation problem. Experiment results demonstrate that our method can outperform several classic trackers.

AB - Tracking is a popular research topic in artificial intelligence, but how to handle the severe occlusion and deformation remains a challenging problem. Focusing on this issue, we propose a multi-scale correlation filter tracker using a re-detection module. Specifically, we utilize a reliable confidence strategy to estimate the reliability of initial results, and introduce a novel template matching technique to solve the target relocation problem. Experiment results demonstrate that our method can outperform several classic trackers.

KW - adaptive re-detection

KW - correlation filter

KW - template matching

UR - http://www.scopus.com/inward/record.url?scp=85084992740&partnerID=8YFLogxK

U2 - 10.1109/ICIASE45644.2019.9074120

DO - 10.1109/ICIASE45644.2019.9074120

M3 - Conference contribution

AN - SCOPUS:85084992740

T3 - Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019

SP - 305

EP - 308

BT - Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019

A2 - Meen, Teen-Hang

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019

Y2 - 26 April 2019 through 29 April 2019

ER -

Yang R, Xu T, Bai Y, Fan A, Yuan B. Multi-scale Correlation Filter Tracking with Adaptive Re-detection Mechanism. 在 Meen TH, 编辑, Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 页码 305-308. 9074120. (Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019). doi: 10.1109/ICIASE45644.2019.9074120

Multi-scale Correlation Filter Tracking with Adaptive Re-detection Mechanism

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