Benchmark:
MOT17 |
Short name:
PHD_GSDL17
Detector:
Public
Description:
n/a
Reference:
Z. Fu, P. Feng, F. Angelini, J. Chambers, S. Naqvi. Particle PHD Filter based Multiple Human Tracking using Online Group-Structured Dictionary Learning. In IEEE Access, 2018.
Last submitted:
December 14, 2017 (6 years ago)
Published:
December 19, 2017 at 15:18:17 CET
Submissions:
1
Project page / code:
n/a
Open source:
No
Hardware:
3.5GHz, 1 Core
Runtime:
6.7 Hz
Benchmark performance:
Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
MOT17 | 48.0 | 49.6 | 39.2 | 402 (17.1) | 838 (35.6) | 23,199 | 265,954 | 52.9 | 92.8 | 39.2 | 39.5 | 43.4 | 70.2 | 42.1 | 73.9 | 80.1 | 1.3 | 3,998 (75.6) | 8,886 (168.1) |
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 | 28.4 | 37.6 | 28.1 | 2 | 10 | 246 | 4,310 | 33.2 | 89.7 | 33.4 | 23.6 | 36.4 | 67.1 | 24.9 | 67.4 | 76.8 | 0.5 | 63 | 149 |
MOT17-01-FRCNN | 24.3 | 40.2 | 35.1 | 6 | 8 | 1,621 | 3,235 | 49.8 | 66.5 | 37.9 | 32.7 | 42.9 | 67.8 | 41.0 | 54.7 | 79.0 | 3.6 | 26 | 71 |
MOT17-01-SDP | 38.8 | 47.5 | 38.7 | 8 | 4 | 1,260 | 2,546 | 60.5 | 75.6 | 39.0 | 38.8 | 42.3 | 70.6 | 47.2 | 58.9 | 78.1 | 2.8 | 143 | 182 |
MOT17-03-DPM | 48.2 | 45.2 | 34.6 | 23 | 34 | 2,428 | 51,277 | 51.0 | 95.7 | 31.5 | 38.3 | 33.8 | 67.8 | 40.0 | 75.1 | 79.4 | 1.6 | 561 | 1,898 |
MOT17-03-FRCNN | 57.7 | 55.1 | 42.6 | 36 | 25 | 1,809 | 42,257 | 59.6 | 97.2 | 40.2 | 45.6 | 43.8 | 71.8 | 47.7 | 77.8 | 80.9 | 1.2 | 247 | 747 |
MOT17-03-SDP | 73.9 | 64.2 | 51.3 | 71 | 15 | 1,273 | 25,635 | 75.5 | 98.4 | 45.9 | 57.6 | 50.7 | 69.7 | 60.5 | 78.9 | 81.5 | 0.8 | 374 | 1,270 |
MOT17-06-DPM | 44.3 | 52.0 | 38.2 | 28 | 97 | 408 | 5,925 | 49.7 | 93.5 | 41.1 | 35.8 | 51.2 | 65.4 | 37.8 | 71.2 | 77.6 | 0.3 | 236 | 314 |
MOT17-06-FRCNN | 53.6 | 55.8 | 43.6 | 47 | 58 | 628 | 4,733 | 59.8 | 91.8 | 42.7 | 44.7 | 54.7 | 62.2 | 48.1 | 73.8 | 80.1 | 0.5 | 101 | 265 |
MOT17-06-SDP | 55.0 | 55.5 | 43.2 | 58 | 67 | 739 | 4,450 | 62.2 | 90.8 | 41.7 | 45.1 | 55.0 | 59.0 | 49.1 | 71.6 | 79.7 | 0.6 | 114 | 250 |
MOT17-07-DPM | 34.3 | 40.9 | 30.5 | 5 | 24 | 812 | 10,033 | 40.6 | 89.4 | 31.6 | 29.7 | 33.3 | 74.6 | 31.5 | 69.3 | 77.6 | 1.6 | 251 | 475 |
MOT17-07-FRCNN | 33.5 | 41.4 | 32.9 | 5 | 17 | 1,592 | 9,458 | 44.0 | 82.4 | 34.8 | 31.9 | 37.5 | 69.7 | 35.1 | 65.7 | 77.7 | 3.2 | 176 | 407 |
MOT17-07-SDP | 46.6 | 47.3 | 37.0 | 13 | 15 | 1,040 | 7,842 | 53.6 | 89.7 | 35.5 | 39.0 | 37.3 | 75.7 | 42.3 | 70.9 | 79.6 | 2.1 | 143 | 342 |
MOT17-08-DPM | 23.7 | 29.1 | 26.2 | 5 | 41 | 409 | 15,549 | 26.4 | 93.2 | 32.3 | 21.2 | 34.5 | 77.4 | 21.9 | 77.2 | 82.4 | 0.7 | 170 | 233 |
MOT17-08-FRCNN | 23.5 | 29.3 | 27.6 | 8 | 41 | 554 | 15,529 | 26.5 | 91.0 | 35.9 | 21.3 | 38.4 | 80.3 | 22.1 | 75.8 | 82.3 | 0.9 | 81 | 130 |
MOT17-08-SDP | 29.6 | 33.6 | 29.8 | 10 | 35 | 487 | 14,230 | 32.6 | 93.4 | 34.6 | 25.9 | 37.3 | 75.7 | 26.9 | 77.1 | 82.2 | 0.8 | 155 | 240 |
MOT17-12-DPM | 34.1 | 47.2 | 37.7 | 14 | 41 | 953 | 4,678 | 46.0 | 80.7 | 43.6 | 32.7 | 49.1 | 69.5 | 36.8 | 64.5 | 79.6 | 1.1 | 81 | 120 |
MOT17-12-FRCNN | 36.0 | 48.8 | 38.3 | 14 | 41 | 799 | 4,677 | 46.0 | 83.3 | 43.8 | 33.7 | 52.0 | 69.1 | 37.4 | 67.7 | 80.4 | 0.9 | 69 | 112 |
MOT17-12-SDP | 40.1 | 55.7 | 43.8 | 19 | 36 | 948 | 4,121 | 52.5 | 82.7 | 50.9 | 37.8 | 54.3 | 76.8 | 42.7 | 67.4 | 81.2 | 1.1 | 124 | 163 |
MOT17-14-DPM | 20.6 | 31.8 | 23.3 | 8 | 95 | 1,101 | 13,117 | 29.0 | 83.0 | 25.5 | 21.5 | 27.2 | 72.0 | 22.9 | 65.4 | 77.6 | 1.5 | 459 | 466 |
MOT17-14-FRCNN | 19.7 | 36.9 | 28.4 | 9 | 75 | 2,720 | 11,884 | 35.7 | 70.8 | 32.8 | 25.1 | 37.1 | 59.6 | 28.4 | 56.4 | 74.5 | 3.6 | 229 | 561 |
MOT17-14-SDP | 34.9 | 45.3 | 32.2 | 13 | 59 | 1,372 | 10,468 | 43.4 | 85.4 | 34.4 | 30.5 | 37.2 | 68.6 | 33.2 | 65.3 | 76.8 | 1.8 | 195 | 491 |
Raw data: