kalman_pub: ByteTrack: Multi-Object Tracking by Associating Every Detection Box


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Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Benchmark:

MOT17 | MOT20 |

Short name:

kalman_pub

Detector:

Public

Description:

Reference:

Y. Zhang, P. Sun, Y. Jiang, D. Yu, F. Weng, Z. Yuan, P. Luo, W. Liu, X. Wang. ByteTrack: Multi-Object Tracking by Associating Every Detection Box. In Proceedings of the European Conference on Computer Vision (ECCV), 2022.

Last submitted:

November 23, 2021 (2 years ago)

Published:

July 27, 2022 at 18:41:16 CET

Submissions:

1

Open source:

Yes

Hardware:

v100

Runtime:

17.7 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT2067.070.256.4592 (47.7)263 (21.2)9,685160,30369.097.458.354.865.073.657.781.484.12.2680 (0.0)1,738 (0.0)

Detailed performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT20-0484.182.666.4481506,91136,29786.897.264.468.671.077.272.981.784.43.3253755
MOT20-0649.753.742.5551051,28565,24550.998.145.040.251.966.341.880.783.31.3251605
MOT20-0766.267.954.5421490910,17869.396.253.755.760.071.659.382.486.01.691121
MOT20-0836.441.834.4149458048,58337.398.040.129.548.160.730.480.082.70.785257

Raw data:


kalman_pub