TY - GEN
T1 - PETS2021
T2 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2021
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.
PY - 2021
Y1 - 2021
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.
UR - http://www.scopus.com/inward/record.url?scp=85124965460&partnerID=8YFLogxK
U2 - 10.1109/AVSS52988.2021.9663837
DO - 10.1109/AVSS52988.2021.9663837
M3 - Conference contribution
AN - SCOPUS:85124965460
T3 - AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance
BT - AVSS 2021 - 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 November 2021 through 19 November 2021
ER -