Benchmark:
MOT17 |
Short name:
GMPHD_KCF
Detector:
Public
Description:
n/a
Reference:
T. Kutschbach, E. Bochinski, V. Eiselein, T. Sikora. Sequential Sensor Fusion Combining Probability Hypothesis Density and Kernelized Correlation Filters for Multi-Object Tracking in Video Data. In International Workshop on Traffic and Street Surveillance for Safety and Security at IEEE AVSS 2017, 2017.
Last submitted:
January 17, 2018 (6 years ago)
Published:
September 26, 2017 at 16:04:36 CET
Submissions:
3
Project page / code:
n/a
Open source:
No
Hardware:
3.4 GHz, 1 Core
Runtime:
3.3 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 | 39.6 | 36.6 | 30.3 | 208 (8.8) | 1,019 (43.3) | 50,903 | 284,228 | 49.6 | 84.6 | 26.4 | 35.3 | 28.0 | 72.8 | 38.9 | 66.3 | 77.8 | 2.9 | 5,811 (117.1) | 7,414 (149.4) |
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 | 18.1 | 25.3 | 20.7 | 2 | 10 | 941 | 4,264 | 33.9 | 69.9 | 19.6 | 22.1 | 20.3 | 70.2 | 25.4 | 52.5 | 74.5 | 2.1 | 79 | 87 |
| MOT17-01-FRCNN | 22.0 | 29.3 | 27.1 | 4 | 9 | 1,430 | 3,530 | 45.3 | 67.1 | 25.0 | 29.6 | 26.2 | 75.9 | 36.2 | 53.7 | 77.2 | 3.2 | 68 | 99 |
| MOT17-01-SDP | 32.5 | 33.5 | 29.1 | 5 | 6 | 1,170 | 3,071 | 52.4 | 74.3 | 25.3 | 34.1 | 26.8 | 69.2 | 40.4 | 57.3 | 75.9 | 2.6 | 115 | 157 |
| MOT17-03-DPM | 33.0 | 29.4 | 25.3 | 27 | 33 | 20,677 | 48,071 | 54.1 | 73.2 | 18.5 | 35.2 | 19.2 | 71.8 | 42.2 | 57.2 | 76.2 | 13.8 | 1,359 | 1,509 |
| MOT17-03-FRCNN | 54.3 | 45.1 | 36.3 | 34 | 29 | 2,577 | 44,750 | 57.2 | 95.9 | 31.3 | 42.7 | 32.9 | 75.5 | 44.8 | 75.0 | 78.9 | 1.7 | 502 | 675 |
| MOT17-03-SDP | 68.4 | 50.4 | 41.0 | 52 | 17 | 2,480 | 29,934 | 71.4 | 96.8 | 32.2 | 52.5 | 34.4 | 72.4 | 55.6 | 75.3 | 79.4 | 1.7 | 670 | 998 |
| MOT17-06-DPM | 27.5 | 30.7 | 23.3 | 6 | 134 | 900 | 7,429 | 37.0 | 82.9 | 21.2 | 25.8 | 22.0 | 75.0 | 27.9 | 62.7 | 75.4 | 0.8 | 220 | 219 |
| MOT17-06-FRCNN | 35.5 | 39.8 | 29.7 | 7 | 104 | 664 | 6,750 | 42.7 | 88.3 | 27.8 | 31.9 | 29.6 | 74.8 | 34.0 | 70.3 | 78.4 | 0.6 | 192 | 206 |
| MOT17-06-SDP | 37.1 | 39.5 | 28.9 | 7 | 101 | 726 | 6,499 | 44.8 | 87.9 | 26.3 | 31.9 | 28.0 | 74.2 | 34.3 | 67.3 | 76.9 | 0.6 | 190 | 241 |
| MOT17-07-DPM | 21.1 | 27.4 | 21.6 | 4 | 26 | 2,984 | 10,092 | 40.3 | 69.5 | 17.6 | 27.3 | 18.7 | 65.5 | 31.6 | 54.5 | 73.9 | 6.0 | 250 | 361 |
| MOT17-07-FRCNN | 28.5 | 32.0 | 25.1 | 2 | 17 | 1,611 | 10,254 | 39.3 | 80.5 | 23.0 | 28.3 | 24.4 | 66.7 | 30.9 | 63.4 | 76.0 | 3.2 | 209 | 362 |
| MOT17-07-SDP | 36.7 | 32.4 | 25.6 | 5 | 18 | 1,407 | 9,048 | 46.4 | 84.8 | 19.9 | 33.5 | 21.5 | 65.1 | 36.4 | 66.5 | 76.7 | 2.8 | 230 | 368 |
| MOT17-08-DPM | 13.4 | 17.0 | 15.8 | 3 | 41 | 2,116 | 15,905 | 24.7 | 71.2 | 13.3 | 19.0 | 13.6 | 76.4 | 20.8 | 60.1 | 78.5 | 3.4 | 277 | 211 |
| MOT17-08-FRCNN | 18.8 | 20.0 | 19.1 | 4 | 41 | 744 | 16,276 | 23.0 | 86.7 | 20.2 | 18.1 | 21.1 | 81.0 | 19.0 | 71.7 | 81.9 | 1.2 | 138 | 123 |
| MOT17-08-SDP | 24.3 | 24.7 | 22.2 | 4 | 36 | 628 | 15,130 | 28.4 | 90.5 | 22.3 | 22.3 | 23.1 | 78.1 | 23.3 | 74.2 | 81.0 | 1.0 | 235 | 228 |
| MOT17-12-DPM | 20.2 | 29.0 | 24.7 | 6 | 48 | 1,578 | 5,173 | 40.3 | 68.9 | 22.7 | 27.2 | 23.6 | 77.0 | 32.3 | 55.2 | 78.5 | 1.8 | 169 | 127 |
| MOT17-12-FRCNN | 30.1 | 34.3 | 28.4 | 8 | 54 | 496 | 5,466 | 36.9 | 86.6 | 28.9 | 28.1 | 30.0 | 81.3 | 30.1 | 70.6 | 80.6 | 0.6 | 94 | 81 |
| MOT17-12-SDP | 34.4 | 36.5 | 30.7 | 10 | 48 | 642 | 4,922 | 43.2 | 85.4 | 29.2 | 32.4 | 30.2 | 82.3 | 35.4 | 70.0 | 81.6 | 0.7 | 121 | 83 |
| MOT17-14-DPM | 13.4 | 26.9 | 20.1 | 7 | 101 | 2,137 | 13,694 | 25.9 | 69.1 | 22.5 | 18.2 | 24.4 | 63.9 | 20.2 | 53.8 | 74.0 | 2.8 | 172 | 292 |
| MOT17-14-FRCNN | 16.6 | 30.5 | 23.5 | 5 | 77 | 2,591 | 12,586 | 31.9 | 69.5 | 25.1 | 22.6 | 28.6 | 57.4 | 25.3 | 55.0 | 73.3 | 3.5 | 235 | 484 |
| MOT17-14-SDP | 23.9 | 35.8 | 26.0 | 6 | 69 | 2,404 | 11,384 | 38.4 | 74.7 | 26.2 | 26.0 | 29.1 | 59.0 | 29.3 | 57.1 | 74.4 | 3.2 | 286 | 503 |
Raw data: