HAM_INTP15: Historical Appearance Matching and Scene Adaptive Detection Filtering (VisBest)
TUD-Crossing
Benchmark:
MOT15 |
Short name:
HAM_INTP15
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:
July 15, 2018 (2 years ago)
Published:
July 15, 2018 at 18:08:48 CET
Submissions:
1
Project page / code:
Open source:
Yes
Hardware:
3.7 GHZ, 1 Core, TITAN X
Runtime:
18.7 Hz
Benchmark performance:
| Sequence | MOTA | IDF1 | HOTA | MOTP | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT15 | 28.6 | 41.4 | 30.4 | 71.1 | 72 (10.0) | 317 (44.0) | 7,485 | 35,910 | 41.6 | 77.3 | 33.0 | 28.3 | 36.2 | 69.0 | 31.8 | 59.1 | 75.2 | 1.3 | 460 (11.1) | 1,038 (25.0) |
Detailed performance:
| Sequence | MOTA | IDF1 | HOTA | MOTP | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| ADL-Rundle-1 | 16.7 | 38.3 | 28.9 | 72.4 | 5 | 13 | 1,949 | 5,770 | 38.0 | 64.5 | 35.0 | 24.2 | 37.9 | 72.2 | 29.4 | 49.8 | 76.3 | 3.9 | 32 | 78 |
| ADL-Rundle-3 | 35.5 | 39.3 | 28.1 | 73.5 | 3 | 15 | 442 | 6,071 | 40.3 | 90.3 | 27.4 | 29.0 | 29.5 | 71.7 | 30.7 | 68.7 | 77.2 | 0.7 | 39 | 56 |
| AVG-TownCentre | 20.9 | 46.5 | 34.3 | 68.8 | 30 | 74 | 1,762 | 3,749 | 47.6 | 65.9 | 38.5 | 30.9 | 44.2 | 62.8 | 37.3 | 51.7 | 72.7 | 3.9 | 145 | 301 |
| ETH-Crossing | 29.0 | 46.3 | 31.0 | 74.0 | 2 | 17 | 28 | 681 | 32.1 | 92.0 | 40.6 | 23.7 | 44.4 | 73.9 | 24.7 | 70.8 | 78.1 | 0.1 | 3 | 3 |
| ETH-Jelmoli | 40.1 | 60.1 | 39.4 | 73.5 | 9 | 15 | 269 | 1,240 | 51.1 | 82.8 | 43.7 | 35.7 | 49.2 | 68.8 | 39.8 | 64.4 | 77.3 | 0.6 | 10 | 33 |
| ETH-Linthescher | 19.8 | 30.6 | 25.0 | 73.6 | 9 | 151 | 189 | 6,959 | 22.1 | 91.3 | 37.9 | 16.6 | 41.3 | 73.1 | 17.1 | 70.6 | 77.3 | 0.2 | 17 | 45 |
| KITTI-16 | 39.5 | 51.6 | 31.7 | 72.6 | 0 | 3 | 103 | 906 | 46.7 | 88.5 | 30.7 | 32.8 | 33.3 | 64.8 | 35.4 | 67.1 | 77.1 | 0.5 | 20 | 42 |
| KITTI-19 | 20.7 | 43.6 | 31.3 | 66.5 | 4 | 17 | 1,311 | 2,879 | 46.1 | 65.3 | 33.9 | 29.5 | 38.2 | 63.1 | 35.5 | 50.2 | 71.6 | 1.2 | 47 | 193 |
| PETS09-S2L2 | 46.0 | 40.9 | 29.4 | 69.4 | 5 | 3 | 704 | 4,385 | 54.5 | 88.2 | 23.2 | 37.7 | 25.1 | 64.8 | 40.4 | 65.4 | 73.9 | 1.6 | 121 | 229 |
| TUD-Crossing | 63.4 | 66.5 | 47.0 | 74.6 | 4 | 3 | 28 | 370 | 66.4 | 96.3 | 47.8 | 46.3 | 50.3 | 72.6 | 49.6 | 71.9 | 78.2 | 0.1 | 5 | 11 |
| Venice-1 | 20.6 | 36.8 | 28.2 | 72.3 | 1 | 6 | 700 | 2,900 | 36.4 | 70.4 | 33.1 | 24.2 | 34.7 | 73.6 | 28.1 | 54.2 | 76.2 | 1.6 | 21 | 47 |
Raw data:
