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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019
Editors	Teen-Hang Meen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	305-308
Number of pages	4
ISBN (Electronic)	9781538681398
DOIs	https://doi.org/10.1109/ICIASE45644.2019.9074120
Publication status	Published - Apr 2019
Event	2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019 - Fuzhou, Fujian, China Duration: 26 Apr 2019 → 29 Apr 2019

Publication series

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

Conference

Conference	2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019
Country/Territory	China
City	Fuzhou, Fujian
Period	26/04/19 → 29/04/19

Keywords

adaptive re-detection
correlation filter
template matching

Access to Document

10.1109/ICIASE45644.2019.9074120

Cite this

Yang, R., Xu, T., Bai, Y., Fan, A., & Yuan, B. (2019). Multi-scale Correlation Filter Tracking with Adaptive Re-detection Mechanism. In T.-H. Meen (Ed.), Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019 (pp. 305-308). Article 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 et al. / Multi-scale Correlation Filter Tracking with Adaptive Re-detection Mechanism. Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019. editor / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 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. in T-H Meen (ed.), 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., pp. 305-308, 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019, Fuzhou, Fujian, China, 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 et al.
Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019. ed. / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2019. p. 305-308 9074120 (Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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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. In Meen TH, editor, Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 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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