PETS2021: Through-foliage detection and tracking challenge and evaluation

Luis Patino; Jonathan Boyle; James Ferryman; Jonas Auer; Julian Pegoraro; Roman Pflugfelder; Mertcan Cokbas; Janusz Konrad; Prakash Ishwar; Giulia Slavic; Lucio Marcenaro; Yifan Jiang; Youngsaeng Jin; Hanseok Ko; Guangliang Zhao; Guy Ben-Yosef; Jianwei Qiu

doi:10.1109/AVSS52988.2021.9663837

PETS2021: Through-foliage detection and tracking challenge and evaluation

Luis Patino, Jonathan Boyle, James Ferryman, Jonas Auer, Julian Pegoraro, Roman Pflugfelder, Mertcan Cokbas, Janusz Konrad, Prakash Ishwar, Giulia Slavic, Lucio Marcenaro, Yifan Jiang, Youngsaeng Jin, Hanseok Ko, Guangliang Zhao, Guy Ben-Yosef, Jianwei Qiu

School of Electrical Engineering

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

2 Citations (Scopus)

Abstract

This paper presents the outcomes of the PETS2021 challenge held in conjunction with AVSS2021 and sponsored by the EU FOLDOUT project. The challenge comprises the publication of a novel video surveillance dataset on through-foliage detection, the defined challenges addressing person detection and tracking in fragmented occlusion scenarios, and quantitative and qualitative performance evaluation of challenge results submitted by six worldwide participants. The results show that while several detection and tracking methods achieve overall good results, through-foliage detection and tracking remains a challenging task for surveillance systems especially as it serves as the input to behaviour (threat) recognition.

Original language	English
Title of host publication	AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665433969
DOIs	https://doi.org/10.1109/AVSS52988.2021.9663837
Publication status	Published - 2021
Event	17th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2021 - Virtual, Online, United States Duration: 2021 Nov 16 → 2021 Nov 19

Publication series

Name	AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance

Conference

Conference	17th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2021
Country/Territory	United States
City	Virtual, Online
Period	21/11/16 → 21/11/19

Bibliographical note

Funding Information:
This challenge is sponsored by the EU funded project FOLDOUT: Through Foliage Detection of Illegal Cross-Border Activities (https://foldout.eu).

Funding Information:
This research was funded by EU H2020 Research and Innovation Programme under grant agreement no. 787021 (FOLDOUT). We thank Zhongqun Zhang, Univ. of Birmingham, UK for the valuable discussion and help during the evaluation.

Publisher Copyright:
© 2021 IEEE.

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Signal Processing
Media Technology

Access to Document

10.1109/AVSS52988.2021.9663837

Cite this

Patino, L., Boyle, J., Ferryman, J., Auer, J., Pegoraro, J., Pflugfelder, R., Cokbas, M., Konrad, J., Ishwar, P., Slavic, G., Marcenaro, L., Jiang, Y., Jin, Y., Ko, H., Zhao, G., Ben-Yosef, G., & Qiu, J. (2021). PETS2021: Through-foliage detection and tracking challenge and evaluation. In AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AVSS52988.2021.9663837

PETS2021: Through-foliage detection and tracking challenge and evaluation. / Patino, Luis; Boyle, Jonathan; Ferryman, James et al.
AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance. Institute of Electrical and Electronics Engineers Inc., 2021. (AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance).

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

Patino, L, Boyle, J, Ferryman, J, Auer, J, Pegoraro, J, Pflugfelder, R, Cokbas, M, Konrad, J, Ishwar, P, Slavic, G, Marcenaro, L, Jiang, Y, Jin, Y, Ko, H, Zhao, G, Ben-Yosef, G & Qiu, J 2021, PETS2021: Through-foliage detection and tracking challenge and evaluation. in AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance. AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance, Institute of Electrical and Electronics Engineers Inc., 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2021, Virtual, Online, United States, 21/11/16. https://doi.org/10.1109/AVSS52988.2021.9663837

Patino L, Boyle J, Ferryman J, Auer J, Pegoraro J, Pflugfelder R et al. PETS2021: Through-foliage detection and tracking challenge and evaluation. In AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance. Institute of Electrical and Electronics Engineers Inc. 2021. (AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance). doi: 10.1109/AVSS52988.2021.9663837

Patino, Luis ; Boyle, Jonathan ; Ferryman, James et al. / PETS2021 : Through-foliage detection and tracking challenge and evaluation. AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance. Institute of Electrical and Electronics Engineers Inc., 2021. (AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance).

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title = "PETS2021: Through-foliage detection and tracking challenge and evaluation",

abstract = "This paper presents the outcomes of the PETS2021 challenge held in conjunction with AVSS2021 and sponsored by the EU FOLDOUT project. The challenge comprises the publication of a novel video surveillance dataset on through-foliage detection, the defined challenges addressing person detection and tracking in fragmented occlusion scenarios, and quantitative and qualitative performance evaluation of challenge results submitted by six worldwide participants. The results show that while several detection and tracking methods achieve overall good results, through-foliage detection and tracking remains a challenging task for surveillance systems especially as it serves as the input to behaviour (threat) recognition.",

author = "Luis Patino and Jonathan Boyle and James Ferryman and Jonas Auer and Julian Pegoraro and Roman Pflugfelder and Mertcan Cokbas and Janusz Konrad and Prakash Ishwar and Giulia Slavic and Lucio Marcenaro and Yifan Jiang and Youngsaeng Jin and Hanseok Ko and Guangliang Zhao and Guy Ben-Yosef and Jianwei Qiu",

note = "Funding Information: This challenge is sponsored by the EU funded project FOLDOUT: Through Foliage Detection of Illegal Cross-Border Activities (https://foldout.eu). Funding Information: This research was funded by EU H2020 Research and Innovation Programme under grant agreement no. 787021 (FOLDOUT). We thank Zhongqun Zhang, Univ. of Birmingham, UK for the valuable discussion and help during the evaluation. Publisher Copyright: {\textcopyright} 2021 IEEE.; 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2021 ; Conference date: 16-11-2021 Through 19-11-2021",

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AU - Patino, Luis

AU - Boyle, Jonathan

AU - Ferryman, James

AU - Auer, Jonas

AU - Pegoraro, Julian

AU - Pflugfelder, Roman

AU - Cokbas, Mertcan

AU - Konrad, Janusz

AU - Ishwar, Prakash

AU - Slavic, Giulia

AU - Marcenaro, Lucio

AU - Jiang, Yifan

AU - Jin, Youngsaeng

AU - Ko, Hanseok

AU - Zhao, Guangliang

AU - Ben-Yosef, Guy

AU - Qiu, Jianwei

N1 - Funding Information: This challenge is sponsored by the EU funded project FOLDOUT: Through Foliage Detection of Illegal Cross-Border Activities (https://foldout.eu). Funding Information: This research was funded by EU H2020 Research and Innovation Programme under grant agreement no. 787021 (FOLDOUT). We thank Zhongqun Zhang, Univ. of Birmingham, UK for the valuable discussion and help during the evaluation. Publisher Copyright: © 2021 IEEE.

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N2 - This paper presents the outcomes of the PETS2021 challenge held in conjunction with AVSS2021 and sponsored by the EU FOLDOUT project. The challenge comprises the publication of a novel video surveillance dataset on through-foliage detection, the defined challenges addressing person detection and tracking in fragmented occlusion scenarios, and quantitative and qualitative performance evaluation of challenge results submitted by six worldwide participants. The results show that while several detection and tracking methods achieve overall good results, through-foliage detection and tracking remains a challenging task for surveillance systems especially as it serves as the input to behaviour (threat) recognition.

AB - This paper presents the outcomes of the PETS2021 challenge held in conjunction with AVSS2021 and sponsored by the EU FOLDOUT project. The challenge comprises the publication of a novel video surveillance dataset on through-foliage detection, the defined challenges addressing person detection and tracking in fragmented occlusion scenarios, and quantitative and qualitative performance evaluation of challenge results submitted by six worldwide participants. The results show that while several detection and tracking methods achieve overall good results, through-foliage detection and tracking remains a challenging task for surveillance systems especially as it serves as the input to behaviour (threat) recognition.

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ER -

PETS2021: Through-foliage detection and tracking challenge and evaluation

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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