VisDrone-MOT2021: The vision meets drone multiple object tracking challenge results

Name: VisDrone-MOT2021: The vision meets drone multiple object tracking challenge results
Author: Chen, G., Wang, W., He, Z., Wang, L., Yuan, Y., Zhang, D., Zhang, J., Zhu, P., Gool, L. V., Han, J., Hoi, S., Hu, Q., Liu, M., Sciarrone, A., Sun, C., Garibotto, C., Tran, D. N. N., Lavagetto, F., Haleem, H., Motorcu, Hakkı, Ateş, H. F., Jeon, H. J., Bisio, I., Jeon, J. W., Li, J., Pham, J. H., Jeon, M., Feng, Q., Li, S., Tran, T. H. P., Pan, X., Song, Y. M., Yao, Y., Du, Y., Xu, Z., Luo, Z.

İsim	VisDrone-MOT2021: The vision meets drone multiple object tracking challenge results
Yazar	Chen, G., Wang, W., He, Z., Wang, L., Yuan, Y., Zhang, D., Zhang, J., Zhu, P., Gool, L. V., Han, J., Hoi, S., Hu, Q., Liu, M., Sciarrone, A., Sun, C., Garibotto, C., Tran, D. N. N., Lavagetto, F., Haleem, H., Motorcu, Hakkı, Ateş, H. F., Jeon, H. J., Bisio, I., Jeon, J. W., Li, J., Pham, J. H., Jeon, M., Feng, Q., Li, S., Tran, T. H. P., Pan, X., Song, Y. M., Yao, Y., Du, Y., Xu, Z., Luo, Z.
Basım Tarihi:	2021
Basım Yeri	- IEEE
Konu	Benchmark, Challenge, Drone, Multi-object tracking, VisDrone
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1550-5499
Kayıt Numarası	2e120958-3089-41ef-bd4c-c49d9ef2137f
Tarih	2021
Örnek Metin	Vision 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.
DOI	10.1109/ICCVW54120.2021.00318

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VisDrone-MOT2021: The vision meets drone multiple object tracking challenge results

Yazar Chen, G., Wang, W., He, Z., Wang, L., Yuan, Y., Zhang, D., Zhang, J., Zhu, P., Gool, L. V., Han, J., Hoi, S., Hu, Q., Liu, M., Sciarrone, A., Sun, C., Garibotto, C., Tran, D. N. N., Lavagetto, F., Haleem, H., Motorcu, Hakkı, Ateş, H. F., Jeon, H. J., Bisio, I., Jeon, J. W., Li, J., Pham, J. H., Jeon, M., Feng, Q., Li, S., Tran, T. H. P., Pan, X., Song, Y. M., Yao, Y., Du, Y., Xu, Z., Luo, Z.

Basım Tarihi 2021

Basım Yeri - IEEE

Konu Benchmark, Challenge, Drone, Multi-object tracking, VisDrone

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1550-5499

Kayıt Numarası 2e120958-3089-41ef-bd4c-c49d9ef2137f

Tarih 2021

Örnek Metin Vision 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.

DOI 10.1109/ICCVW54120.2021.00318