LDCT: Learning to Divide and Conquer 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.

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.

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:

MOT15 |

Short name:

LDCT

Detector:

Public

Description:

Test are performed on fixed camera video only:
- TUD-Crossing
- PETS09-S2L2
- AVG-TownCentre
- ADL-Rundle-3
- KITTI-16
- Venice-1

Results on other sequences are not meaningful.

Reference:

F. Solera, S. Calderara, R. Cucchiara. Learning to Divide and Conquer for Online Multi-Target Tracking. In ICCV, 2015

Last submitted:

April 22, 2015 (9 years ago)

Published:

April 22, 2015 at 22:31:13 CET

Submissions:

1

Project page / code:

Open source:

No

Hardware:

3 GHZ, 1 Core

Runtime:

20.7 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT154.716.819.082 (11.4)234 (32.5)14,06632,15647.767.612.430.814.572.637.553.175.32.412,348 (259.1)2,918 (61.2)

Detailed performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
ADL-Rundle-1-68.00.32.8946,3584,14155.544.80.326.70.3100.044.135.674.212.75,133570
ADL-Rundle-325.220.216.82274537,03930.887.312.922.513.566.323.767.276.70.7110101
AVG-TownCentre31.742.033.836241,8782,60863.570.727.641.934.949.051.457.275.24.2395509
ETH-Crossing-6.12.56.73107870629.679.22.321.52.3100.023.262.176.60.428044
ETH-Jelmoli-23.71.66.78116411,09756.869.21.435.71.494.744.654.376.31.51,399182
ETH-Linthescher-1.72.05.241322686,74024.589.11.818.11.8100.018.868.477.00.22,076435
KITTI-1653.043.435.4239166560.991.926.946.631.356.650.576.282.40.44457
KITTI-19-48.01.24.93142,6262,79247.749.31.427.41.4100.038.639.870.72.52,490561
PETS09-S2L247.426.922.7639953,77960.885.512.841.413.859.945.864.474.82.3297300
TUD-Crossing67.752.545.19110020581.490.033.262.038.756.269.977.384.80.55130
Venice-133.524.722.0055782,38447.879.014.634.415.561.537.361.872.61.373129

Raw data: