LMOT_Tracker: LMOT: Efficient Light-Weight Detection and Tracking in Crowds

MOT20-04


Benchmark:

MOT16 | MOT17 | MOT20 |

Short name:

LMOT_Tracker

Detector:

Private

Description:

Reference:

R. Mostafa, H. Baraka, A. Bayoumi. LMOT: Efficient Light-Weight Detection and Tracking in Crowds. In IEEE Access, 2022.

Last submitted:

January 13, 2022 (2 years ago)

Published:

January 13, 2022 at 19:26:45 CET

Submissions:

1

Open source:

No

Hardware:

RTX2070 Mobile GPU

Runtime:

22.4 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT2059.161.147.5312 (25.1)286 (23.0)13,526196,67362.096.046.848.451.573.751.279.283.13.01,398 (0.0)2,446 (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
MOT20-0456.861.346.0741561,109116,83557.499.345.946.148.978.647.782.583.80.5386565
MOT20-0662.961.850.6124735,49843,27867.494.249.551.955.870.255.777.982.95.55411,062
MOT20-0770.761.650.46673,4796,04281.788.643.159.250.263.467.573.282.35.9169192
MOT20-0855.859.046.048503,44030,51860.693.246.645.552.569.749.075.481.84.3302627

Raw data:


LMOT_Tracker