GMPHD_N1Tr:
MOT17-06-DPM
Benchmark:
MOT17 |
Short name:
GMPHD_N1Tr
Detector:
Public
Description:
n/a
Reference:
N. Baisa, A. Wallace. Development of a N-type GM-PHD filter for multiple target, multiple type visual tracking. In Journal of Visual Communication and Image Representation, 2019.
Last submitted:
February 17, 2019 (5 years ago)
Published:
February 17, 2019 at 11:35:23 CET
Submissions:
2
Project page / code:
n/a
Open source:
No
Hardware:
3 GHZ, 1 Core
Runtime:
9.9 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 | 42.1 | 33.9 | 30.3 | 280 (11.9) | 1,005 (42.7) | 18,214 | 297,646 | 47.2 | 93.6 | 25.9 | 36.1 | 27.3 | 76.2 | 38.0 | 75.2 | 80.5 | 1.0 | 10,698 (226.4) | 10,864 (229.9) |
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 | 20.3 | 16.6 | 15.5 | 1 | 15 | 34 | 4,995 | 22.6 | 97.7 | 14.2 | 16.9 | 14.6 | 74.3 | 17.2 | 74.4 | 78.1 | 0.1 | 109 | 120 |
| MOT17-01-FRCNN | 25.0 | 31.8 | 29.8 | 6 | 8 | 1,438 | 3,331 | 48.4 | 68.4 | 27.7 | 32.5 | 29.2 | 76.1 | 39.8 | 56.4 | 79.1 | 3.2 | 70 | 74 |
| MOT17-01-SDP | 37.1 | 29.0 | 25.9 | 7 | 5 | 841 | 3,012 | 53.3 | 80.3 | 18.8 | 36.6 | 20.4 | 70.5 | 41.9 | 63.2 | 77.9 | 1.9 | 206 | 205 |
| MOT17-03-DPM | 39.4 | 25.9 | 23.2 | 12 | 53 | 537 | 60,863 | 41.9 | 98.8 | 16.8 | 32.2 | 17.3 | 78.4 | 33.0 | 78.0 | 80.4 | 0.4 | 2,047 | 2,102 |
| MOT17-03-FRCNN | 55.7 | 43.8 | 37.2 | 35 | 28 | 1,561 | 43,974 | 58.0 | 97.5 | 31.3 | 44.8 | 32.8 | 79.4 | 46.7 | 78.5 | 81.2 | 1.0 | 795 | 889 |
| MOT17-03-SDP | 67.2 | 41.1 | 37.9 | 57 | 16 | 844 | 31,413 | 70.0 | 98.9 | 26.8 | 54.0 | 27.9 | 78.4 | 56.4 | 79.6 | 81.8 | 0.6 | 2,033 | 2,256 |
| MOT17-06-DPM | 34.9 | 35.5 | 27.9 | 11 | 130 | 273 | 7,154 | 39.3 | 94.4 | 27.2 | 29.0 | 32.2 | 67.0 | 30.1 | 72.4 | 77.5 | 0.2 | 239 | 235 |
| MOT17-06-FRCNN | 41.4 | 40.6 | 34.1 | 32 | 72 | 998 | 5,514 | 53.2 | 86.3 | 29.6 | 40.0 | 34.4 | 63.2 | 43.6 | 70.6 | 79.1 | 0.8 | 393 | 328 |
| MOT17-06-SDP | 41.8 | 39.2 | 32.7 | 35 | 73 | 1,092 | 5,348 | 54.6 | 85.5 | 27.4 | 39.6 | 32.2 | 61.3 | 43.5 | 68.1 | 77.9 | 0.9 | 414 | 345 |
| MOT17-07-DPM | 25.6 | 22.8 | 20.0 | 3 | 36 | 380 | 11,785 | 30.2 | 93.1 | 17.7 | 23.0 | 18.4 | 71.5 | 23.7 | 73.1 | 78.2 | 0.8 | 408 | 425 |
| MOT17-07-FRCNN | 27.4 | 26.3 | 24.9 | 3 | 19 | 1,667 | 10,062 | 40.4 | 80.4 | 22.0 | 30.0 | 23.4 | 66.3 | 32.8 | 65.3 | 77.6 | 3.3 | 532 | 511 |
| MOT17-07-SDP | 37.1 | 29.9 | 28.7 | 5 | 19 | 1,179 | 8,854 | 47.6 | 87.2 | 24.0 | 35.4 | 25.4 | 66.6 | 38.3 | 70.1 | 78.9 | 2.4 | 595 | 580 |
| MOT17-08-DPM | 21.4 | 21.7 | 20.5 | 3 | 44 | 87 | 16,250 | 23.1 | 98.2 | 22.3 | 18.8 | 22.7 | 83.5 | 19.1 | 81.5 | 83.4 | 0.1 | 259 | 263 |
| MOT17-08-FRCNN | 21.8 | 27.1 | 25.6 | 6 | 40 | 700 | 15,680 | 25.8 | 88.6 | 32.1 | 20.7 | 33.4 | 81.6 | 21.6 | 74.2 | 82.8 | 1.1 | 143 | 159 |
| MOT17-08-SDP | 27.3 | 27.4 | 25.9 | 8 | 36 | 368 | 14,683 | 30.5 | 94.6 | 27.8 | 24.4 | 28.7 | 80.2 | 25.2 | 78.2 | 82.5 | 0.6 | 315 | 326 |
| MOT17-12-DPM | 35.2 | 35.8 | 30.0 | 8 | 49 | 82 | 5,389 | 37.8 | 97.6 | 30.6 | 29.5 | 31.6 | 81.9 | 30.3 | 78.2 | 81.0 | 0.1 | 143 | 149 |
| MOT17-12-FRCNN | 36.4 | 47.4 | 37.8 | 12 | 48 | 435 | 4,983 | 42.5 | 89.4 | 44.5 | 32.4 | 46.9 | 80.3 | 34.6 | 72.9 | 81.5 | 0.5 | 92 | 96 |
| MOT17-12-SDP | 40.4 | 48.5 | 40.3 | 15 | 42 | 426 | 4,615 | 46.8 | 90.5 | 45.3 | 36.0 | 47.7 | 80.0 | 38.6 | 74.7 | 82.7 | 0.5 | 124 | 120 |
| MOT17-14-DPM | 12.1 | 13.4 | 12.6 | 4 | 126 | 227 | 15,708 | 15.0 | 92.4 | 14.1 | 11.5 | 14.5 | 74.4 | 11.7 | 72.3 | 78.5 | 0.3 | 307 | 311 |
| MOT17-14-FRCNN | 13.1 | 23.0 | 19.6 | 10 | 77 | 2,941 | 12,399 | 32.9 | 67.4 | 17.2 | 23.8 | 18.8 | 58.4 | 27.0 | 55.3 | 74.5 | 3.9 | 713 | 639 |
| MOT17-14-SDP | 21.6 | 25.5 | 20.9 | 7 | 69 | 2,104 | 11,634 | 37.1 | 76.5 | 16.9 | 26.9 | 18.1 | 61.8 | 29.7 | 61.3 | 76.0 | 2.8 | 761 | 731 |
Raw data:
