Benchmark:
MOT17 |
Short name:
HAM_SADF17
Detector:
Public
Description:
https://github.com/yyc9268/Deep-TAMA
Reference:
Y. Yoon, A. Boragule, Y. Song, K. Yoon, M. Jeon. Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering. In IEEE AVSS, 2018.
Last submitted:
September 07, 2018 (6 years ago)
Published:
September 07, 2018 at 10:21:48 CET
Submissions:
1
Project page / code:
Open source:
Yes
Hardware:
3.7 GHZ, 1 Core, TITAN X
Runtime:
5.0 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 | 48.3 | 51.1 | 40.3 | 402 (17.1) | 981 (41.7) | 20,967 | 269,038 | 52.3 | 93.4 | 41.5 | 39.3 | 44.4 | 75.8 | 41.7 | 74.5 | 80.2 | 1.2 | 1,871 (35.8) | 3,020 (57.7) |
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 | 28.9 | 35.8 | 26.7 | 4 | 12 | 123 | 4,441 | 31.1 | 94.2 | 31.8 | 22.5 | 33.9 | 69.2 | 23.3 | 70.5 | 77.3 | 0.3 | 20 | 20 |
MOT17-01-FRCNN | 31.6 | 42.5 | 37.5 | 7 | 10 | 1,151 | 3,238 | 49.8 | 73.6 | 41.2 | 34.3 | 43.6 | 77.9 | 40.6 | 60.1 | 79.1 | 2.6 | 21 | 39 |
MOT17-01-SDP | 44.4 | 52.7 | 40.8 | 7 | 4 | 1,096 | 2,449 | 62.0 | 78.5 | 41.9 | 40.2 | 44.3 | 74.7 | 48.0 | 60.8 | 78.4 | 2.4 | 38 | 65 |
MOT17-03-DPM | 47.0 | 47.5 | 36.0 | 25 | 37 | 4,210 | 51,118 | 51.2 | 92.7 | 34.1 | 38.2 | 35.2 | 78.4 | 40.5 | 73.5 | 79.7 | 2.8 | 201 | 275 |
MOT17-03-FRCNN | 58.0 | 55.9 | 43.3 | 34 | 26 | 1,274 | 42,496 | 59.4 | 98.0 | 41.5 | 45.7 | 43.8 | 78.0 | 47.6 | 78.6 | 81.1 | 0.8 | 190 | 277 |
MOT17-03-SDP | 75.9 | 67.3 | 53.7 | 76 | 13 | 1,342 | 23,645 | 77.4 | 98.4 | 49.3 | 58.9 | 53.0 | 74.4 | 61.9 | 78.7 | 81.2 | 0.9 | 200 | 459 |
MOT17-06-DPM | 37.8 | 49.5 | 37.0 | 20 | 134 | 346 | 6,933 | 41.2 | 93.3 | 45.7 | 30.3 | 51.3 | 71.6 | 31.7 | 71.8 | 77.9 | 0.3 | 54 | 92 |
MOT17-06-FRCNN | 48.7 | 58.4 | 44.9 | 44 | 83 | 756 | 5,215 | 55.7 | 89.7 | 48.3 | 42.0 | 54.3 | 71.7 | 45.3 | 72.9 | 80.0 | 0.6 | 80 | 156 |
MOT17-06-SDP | 53.7 | 58.9 | 46.2 | 73 | 71 | 1,088 | 4,243 | 64.0 | 87.4 | 47.5 | 45.2 | 56.0 | 66.3 | 50.3 | 68.7 | 78.6 | 0.9 | 124 | 189 |
MOT17-07-DPM | 30.9 | 38.9 | 29.1 | 4 | 33 | 645 | 10,969 | 35.1 | 90.2 | 33.4 | 25.6 | 35.8 | 70.3 | 26.9 | 69.2 | 77.4 | 1.3 | 64 | 121 |
MOT17-07-FRCNN | 33.2 | 39.6 | 30.9 | 3 | 20 | 1,104 | 10,083 | 40.3 | 86.1 | 32.9 | 29.7 | 35.4 | 71.2 | 31.9 | 68.0 | 77.6 | 2.2 | 105 | 216 |
MOT17-07-SDP | 46.1 | 45.5 | 36.1 | 13 | 18 | 910 | 8,102 | 52.0 | 90.6 | 34.4 | 38.3 | 36.6 | 72.1 | 41.1 | 71.6 | 79.2 | 1.8 | 100 | 196 |
MOT17-08-DPM | 23.4 | 28.3 | 24.9 | 7 | 43 | 489 | 15,629 | 26.0 | 91.8 | 29.5 | 21.1 | 30.9 | 78.3 | 21.8 | 77.0 | 82.8 | 0.8 | 64 | 49 |
MOT17-08-FRCNN | 22.9 | 29.5 | 27.1 | 7 | 41 | 530 | 15,705 | 25.7 | 91.1 | 36.1 | 20.4 | 38.1 | 81.2 | 21.2 | 75.4 | 82.9 | 0.8 | 52 | 63 |
MOT17-08-SDP | 32.1 | 36.6 | 32.6 | 11 | 35 | 481 | 13,769 | 34.8 | 93.9 | 38.6 | 27.7 | 40.9 | 78.5 | 28.8 | 77.6 | 82.1 | 0.8 | 98 | 118 |
MOT17-12-DPM | 38.5 | 49.0 | 37.1 | 9 | 53 | 219 | 5,081 | 41.4 | 94.2 | 43.7 | 31.5 | 45.5 | 78.9 | 32.9 | 75.0 | 80.4 | 0.2 | 30 | 30 |
MOT17-12-FRCNN | 37.6 | 50.7 | 38.6 | 13 | 48 | 325 | 5,057 | 41.7 | 91.7 | 46.7 | 31.9 | 49.0 | 80.1 | 33.8 | 74.4 | 81.2 | 0.4 | 23 | 25 |
MOT17-12-SDP | 41.8 | 55.3 | 44.0 | 21 | 44 | 708 | 4,301 | 50.4 | 86.0 | 52.5 | 36.9 | 56.2 | 77.4 | 40.8 | 69.8 | 81.4 | 0.8 | 38 | 42 |
MOT17-14-DPM | 21.2 | 33.7 | 25.1 | 6 | 105 | 588 | 13,932 | 24.6 | 88.6 | 34.0 | 18.6 | 35.3 | 75.6 | 19.4 | 69.6 | 78.4 | 0.8 | 38 | 50 |
MOT17-14-FRCNN | 20.9 | 34.4 | 26.5 | 7 | 85 | 2,030 | 12,412 | 32.8 | 74.9 | 30.0 | 24.0 | 33.2 | 64.5 | 26.3 | 59.9 | 75.0 | 2.7 | 170 | 280 |
MOT17-14-SDP | 35.4 | 47.1 | 33.5 | 11 | 66 | 1,552 | 10,220 | 44.7 | 84.2 | 36.3 | 31.3 | 39.1 | 70.5 | 34.4 | 64.7 | 76.9 | 2.1 | 161 | 258 |
Raw data: