RETracker: Random Ensemble Tracker


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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.

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

Benchmark:

MOT20 |

Short name:

RETracker

Detector:

Public

Description:

Reference:

Y. Kawanishi. Label-Based Multiple Object Ensemble Tracking with Randomized Frame Dropping. In Proceedings of the 26th International Conference on Pattern Recognition, 2022.

Last submitted:

January 05, 2022 (2 years ago)

Published:

September 19, 2022 at 12:37:16 CET

Submissions:

2

Project page / code:

n/a

Open source:

No

Hardware:

3.00 GHz 18 core

Runtime:

0.0 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT2062.453.045.3605 (48.7)192 (15.5)43,503147,45171.589.538.653.453.352.359.374.282.19.73,804 (0.0)9,245 (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
MOT20-0475.961.252.54074520,45744,44483.891.843.264.061.055.370.377.082.59.81,0173,233
MOT20-0646.640.633.8867312,21557,16956.986.127.841.337.244.146.269.981.212.11,5503,379
MOT20-0776.061.252.07861,9715,73882.793.343.063.154.456.869.378.283.93.4224421
MOT20-0835.535.830.434688,86040,10048.280.827.733.735.545.638.464.380.011.01,0132,212

Raw data: