SGT_det: Sparse Graph Tracker for detection


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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:

Short name:

SGT_det

Description:

Reference:

J. Hyun, M. Kang, D. Wee, D. Yeung. Detection recovery in online multi-object tracking with sparse graph tracker. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023.

Last submitted:

October 28, 2021 (2 years ago)

Published:

November 14, 2021 at 16:04:23 CET

Submissions:

1

Project page / code:

Open source:

Yes

Hardware:

1 V100, 12 CPUs

Runtime:

14.3 Hz

Benchmark performance:

Sequence AP MODA MODP FAF TP FP FN Rcll Prcn F1
MOT20Det0.9084.380.65.0311,92022,18331,60490.893.492.1

Detailed performance:

Sequence AP MODA MODP FAF TP FP FN Rcll Prcn F1
MOT20-040.9189.180.36.1218,30412,72012,42594.694.594.6
MOT20-060.7272.281.24.250,2824,18513,60778.792.385.0
MOT20-070.9185.483.73.315,8401,91745897.289.293.0
MOT20-080.8174.080.14.227,4943,3615,11484.389.186.6

Raw data: