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dc.contributor.authorChen, Guanlin
dc.contributor.authorWang, Wenguan
dc.contributor.authorHe, Zhijian
dc.contributor.authorWang, Lujia
dc.contributor.authorYuan, Yixuan
dc.contributor.authorZhang, Dingwen
dc.contributor.authorZhang, Jinglin
dc.contributor.authorZhu, Pengfei
dc.contributor.authorGool, Luc Van
dc.contributor.authorHan, Junwei
dc.contributor.authorHoi, Steven
dc.contributor.authorHu, Qinghua
dc.contributor.authorLiu, Ming
dc.contributor.authorSciarrone, Andrea
dc.contributor.authorSun, Chao
dc.contributor.authorGaribotto, Chiara
dc.contributor.authorTran, Duong Nguyen-Ngoc
dc.contributor.authorLavagetto, Fabio
dc.contributor.authorHaleem, Halar
dc.contributor.authorMotorcu, Hakkı
dc.contributor.authorAteş, Hasan Fehmi
dc.contributor.authorNguyen, Huy Hung
dc.contributor.authorJeon, Hyung Joon
dc.contributor.authorBisio, Igor
dc.contributor.authorJeon, Jae Wook
dc.contributor.authorLi, Jiahao
dc.contributor.authorPham, Long Hoang
dc.contributor.authorJeon, Moongu
dc.contributor.authorFeng, Qianyu
dc.contributor.authorLi, Shengwen
dc.contributor.authorTran, Tai Huu-Phuong
dc.contributor.authorPan, Xiao
dc.contributor.authorSong, Young-min
dc.contributor.authorYao, Yuehan
dc.contributor.authorDu, Yunhao
dc.contributor.authorXu, Zhenyu
dc.contributor.authorLuo, Zhipeng
dc.date.accessioned2022-01-31T13:12:37Z
dc.date.available2022-01-31T13:12:37Z
dc.date.issued2021en_US
dc.identifier.citationChen, G., Wang, W., He, Z., Wang, L., Yuan, Y., Zhang, D. ... Luo, Z. (2021). VisDrone-MOT2021: The vision meets drone multiple object tracking challenge results. IEEE/CVF International Conference on Computer Vision (ICCVW) içinde (2839-2846. ss.). Virtual, 27-30 September 2021. https://dx.doi.org/10.1109/ICCVW54120.2021.00318en_US
dc.identifier.isbn9781665401913
dc.identifier.issn1550-5499
dc.identifier.urihttps://dx.doi.org/10.1109/ICCVW54120.2021.00318
dc.identifier.urihttps://hdl.handle.net/20.500.12511/8947
dc.description.abstractVision Meets Drone: Multiple Object Tracking (VisDrone-MOT2021) challenge - the forth annual activity organized by the VisDrone team - focuses on benchmarking UAV MOT algorithms in realistic challenging environments. It is held in conjunction with ICCV 2021. VisDrone-MOT2021 contains 96 video sequences in total, including 56 sequences (~24K frames) for training, 7 sequences (~3K frames) for validation and 33 sequences (~13K frames) for testing. Bounding-box annotations for novel object categories are provided every frame and temporally consistent instance IDs are also given. Additionally, occlusion ratio and truncation ratio are provided as extra useful annotations. The results of eight state-of-the-art MOT algorithms are reported and discussed. We hope that our VisDrone-MOT2021 challenge will facilitate future research and applications in the field of UAV vision. The website of our challenge can be found at http://www.aiskyeye.com/.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectBenchmarken_US
dc.subjectChallengeen_US
dc.subjectDroneen_US
dc.subjectMulti-Object Trackingen_US
dc.subjectVisDroneen_US
dc.titleVisDrone-MOT2021: The vision meets drone multiple object tracking challenge resultsen_US
dc.typeconferenceObjecten_US
dc.relation.ispartofIEEE/CVF International Conference on Computer Vision (ICCVW)en_US
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.volume2021en_US
dc.identifier.startpage2839en_US
dc.identifier.endpage2846en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/ICCVW54120.2021.00318en_US


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