Short name:
GLMBFairMOT
Detector:
Private
Description:
Visual multi-object tracking with re-identification and occlusion handling using labeled random finite sets
Reference:
L. Van Ma, T. Nguyen, C. Shim, D. Kim, N. Ha, M. Jeon. Visual multi-object tracking with re-identification and occlusion handling using labeled random finite sets. In Pattern Recognition, 2024.
Last submitted:
August 30, 2024 (1 month ago)
Published:
August 30, 2024 at 07:48:06 CET
Submissions:
1
Project page / code:
Open source:
No
Hardware:
CPU AMD Ryzen Threadripper 2950X 16-Core Processor
Runtime:
218.1 Hz
Benchmark performance:
Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
MOT17 | 73.9 | 71.5 | 58.9 | 1,008 (42.8) | 399 (16.9) | 25,116 | 118,989 | 78.9 | 94.7 | 57.4 | 60.6 | 63.2 | 75.8 | 65.5 | 78.5 | 83.3 | 1.4 | 3,255 (0.0) | 5,976 (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 |
MOT17-01-DPM | 59.5 | 65.8 | 52.7 | 10 | 6 | 229 | 2,340 | 63.7 | 94.7 | 57.6 | 48.4 | 60.3 | 81.3 | 51.7 | 76.9 | 82.4 | 0.5 | 42 | 77 |
MOT17-01-FRCNN | 59.5 | 65.8 | 52.7 | 10 | 6 | 229 | 2,340 | 63.7 | 94.7 | 57.6 | 48.4 | 60.3 | 81.3 | 51.7 | 76.9 | 82.4 | 0.5 | 42 | 77 |
MOT17-01-SDP | 59.5 | 65.8 | 52.7 | 10 | 6 | 229 | 2,340 | 63.7 | 94.7 | 57.6 | 48.4 | 60.3 | 81.3 | 51.7 | 76.9 | 82.4 | 0.5 | 42 | 77 |
MOT17-03-DPM | 89.1 | 81.1 | 67.8 | 128 | 1 | 2,814 | 8,398 | 92.0 | 97.2 | 63.3 | 72.9 | 69.5 | 78.2 | 77.5 | 81.9 | 84.4 | 1.9 | 161 | 456 |
MOT17-03-FRCNN | 89.1 | 81.1 | 67.8 | 128 | 1 | 2,814 | 8,398 | 92.0 | 97.2 | 63.3 | 72.9 | 69.5 | 78.2 | 77.5 | 81.9 | 84.4 | 1.9 | 161 | 456 |
MOT17-03-SDP | 89.1 | 81.1 | 67.8 | 128 | 1 | 2,814 | 8,398 | 92.0 | 97.2 | 63.3 | 72.9 | 69.5 | 78.2 | 77.5 | 81.9 | 84.4 | 1.9 | 161 | 456 |
MOT17-06-DPM | 62.6 | 66.8 | 53.5 | 84 | 46 | 702 | 3,519 | 70.1 | 92.2 | 53.9 | 53.2 | 61.8 | 72.7 | 58.1 | 76.3 | 83.0 | 0.6 | 189 | 215 |
MOT17-06-FRCNN | 62.6 | 66.8 | 53.5 | 84 | 46 | 702 | 3,519 | 70.1 | 92.2 | 53.9 | 53.2 | 61.8 | 72.7 | 58.1 | 76.3 | 83.0 | 0.6 | 189 | 215 |
MOT17-06-SDP | 62.6 | 66.8 | 53.5 | 84 | 46 | 702 | 3,519 | 70.1 | 92.2 | 53.9 | 53.2 | 61.8 | 72.7 | 58.1 | 76.3 | 83.0 | 0.6 | 189 | 215 |
MOT17-07-DPM | 65.0 | 63.1 | 50.0 | 27 | 2 | 1,248 | 4,496 | 73.4 | 90.9 | 46.7 | 53.9 | 51.0 | 71.3 | 59.8 | 74.1 | 82.2 | 2.5 | 171 | 324 |
MOT17-07-FRCNN | 65.0 | 63.1 | 50.0 | 27 | 2 | 1,248 | 4,496 | 73.4 | 90.9 | 46.7 | 53.9 | 51.0 | 71.3 | 59.8 | 74.1 | 82.2 | 2.5 | 171 | 324 |
MOT17-07-SDP | 65.0 | 63.1 | 50.0 | 27 | 2 | 1,248 | 4,496 | 73.4 | 90.9 | 46.7 | 53.9 | 51.0 | 71.3 | 59.8 | 74.1 | 82.2 | 2.5 | 171 | 324 |
MOT17-08-DPM | 44.5 | 42.9 | 36.0 | 20 | 17 | 1,091 | 10,377 | 50.9 | 90.8 | 34.2 | 38.4 | 37.6 | 66.2 | 41.4 | 73.8 | 81.8 | 1.7 | 265 | 387 |
MOT17-08-FRCNN | 44.5 | 42.9 | 36.0 | 20 | 17 | 1,091 | 10,377 | 50.9 | 90.8 | 34.2 | 38.4 | 37.6 | 66.2 | 41.4 | 73.8 | 81.8 | 1.7 | 265 | 387 |
MOT17-08-SDP | 44.5 | 42.9 | 36.0 | 20 | 17 | 1,091 | 10,377 | 50.9 | 90.8 | 34.2 | 38.4 | 37.6 | 66.2 | 41.4 | 73.8 | 81.8 | 1.7 | 265 | 387 |
MOT17-12-DPM | 57.1 | 66.6 | 51.4 | 26 | 27 | 381 | 3,286 | 62.1 | 93.4 | 56.7 | 47.0 | 59.8 | 80.8 | 50.5 | 76.0 | 82.4 | 0.4 | 48 | 118 |
MOT17-12-FRCNN | 57.1 | 66.6 | 51.4 | 26 | 27 | 381 | 3,286 | 62.1 | 93.4 | 56.7 | 47.0 | 59.8 | 80.8 | 50.5 | 76.0 | 82.4 | 0.4 | 48 | 118 |
MOT17-12-SDP | 57.1 | 66.6 | 51.4 | 26 | 27 | 381 | 3,286 | 62.1 | 93.4 | 56.7 | 47.0 | 59.8 | 80.8 | 50.5 | 76.0 | 82.4 | 0.4 | 48 | 118 |
MOT17-14-DPM | 49.3 | 54.9 | 40.2 | 41 | 34 | 1,907 | 7,247 | 60.8 | 85.5 | 40.0 | 41.1 | 45.4 | 64.4 | 46.2 | 65.0 | 77.1 | 2.5 | 209 | 415 |
MOT17-14-FRCNN | 49.3 | 54.9 | 40.2 | 41 | 34 | 1,907 | 7,247 | 60.8 | 85.5 | 40.0 | 41.1 | 45.4 | 64.4 | 46.2 | 65.0 | 77.1 | 2.5 | 209 | 415 |
MOT17-14-SDP | 49.3 | 54.9 | 40.2 | 41 | 34 | 1,907 | 7,247 | 60.8 | 85.5 | 40.0 | 41.1 | 45.4 | 64.4 | 46.2 | 65.0 | 77.1 | 2.5 | 209 | 415 |
Raw data: