GMMA_intp: Online and Real-time Tracker using the GMPHD Filter with Group Management and Relative Motion Analysis
KITTI-16
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Benchmark:
MOT15 |
Short name:
GMMA_intp
Detector:
Public
Description:
n/a
Reference:
Y. Song, Y. Yoon, K. Yoon, M. Jeon. Online and Real-Time Tracking with the GMPHD Filter using Group Management and Relative Motion Analysis. In Proc. IEEE Int. Workshop Traffic Street Surveill. Safety Secur. (AVSS), 2018.
Last submitted:
February 14, 2019 (5 years ago)
Published:
August 01, 2019 at 08:55:33 CET
Submissions:
2
Project page / code:
n/a
Open source:
No
Hardware:
4.2 GHz, 4 Cores
Runtime:
132.5 Hz
Benchmark performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT15 | 27.3 | 36.6 | 27.6 | 47 (6.5) | 311 (43.1) | 7,848 | 35,817 | 41.7 | 76.6 | 27.2 | 28.4 | 31.1 | 59.4 | 31.9 | 58.5 | 74.6 | 1.4 | 987 (23.7) | 1,848 (44.3) |
Detailed performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| ADL-Rundle-1 | 15.0 | 35.3 | 27.5 | 4 | 12 | 1,829 | 6,025 | 35.3 | 64.2 | 33.7 | 22.6 | 37.5 | 64.6 | 27.2 | 49.6 | 76.2 | 3.7 | 60 | 232 |
| ADL-Rundle-3 | 35.0 | 45.8 | 32.8 | 6 | 14 | 1,190 | 5,362 | 47.3 | 80.1 | 34.4 | 31.6 | 38.1 | 64.9 | 35.7 | 60.5 | 76.1 | 1.9 | 59 | 75 |
| AVG-TownCentre | 20.5 | 34.4 | 25.4 | 5 | 107 | 693 | 4,816 | 32.6 | 77.1 | 28.0 | 23.4 | 33.7 | 57.2 | 25.3 | 59.8 | 73.1 | 1.5 | 172 | 297 |
| ETH-Crossing | 26.5 | 48.0 | 32.4 | 1 | 12 | 113 | 615 | 38.7 | 77.4 | 38.7 | 27.3 | 41.9 | 72.8 | 30.4 | 60.9 | 76.9 | 0.5 | 9 | 14 |
| ETH-Jelmoli | 37.0 | 48.5 | 33.8 | 8 | 13 | 365 | 1,178 | 53.6 | 78.8 | 32.1 | 35.8 | 37.4 | 62.1 | 41.3 | 60.8 | 76.6 | 0.8 | 55 | 70 |
| ETH-Linthescher | 24.0 | 32.9 | 25.3 | 14 | 119 | 719 | 5,935 | 33.5 | 80.6 | 26.8 | 24.2 | 32.7 | 59.3 | 26.1 | 62.8 | 75.6 | 0.6 | 135 | 166 |
| KITTI-16 | 39.6 | 49.3 | 34.5 | 0 | 2 | 142 | 859 | 49.5 | 85.6 | 34.4 | 34.6 | 39.0 | 60.5 | 37.8 | 65.3 | 75.9 | 0.7 | 27 | 57 |
| KITTI-19 | 22.3 | 37.8 | 27.0 | 2 | 20 | 764 | 3,326 | 37.8 | 72.5 | 27.8 | 26.8 | 31.0 | 59.3 | 29.4 | 56.5 | 71.1 | 0.7 | 64 | 245 |
| PETS09-S2L2 | 41.0 | 27.0 | 21.6 | 4 | 4 | 1,217 | 4,122 | 57.2 | 81.9 | 12.2 | 38.5 | 14.1 | 47.8 | 42.8 | 61.2 | 72.9 | 2.8 | 349 | 528 |
| TUD-Crossing | 54.8 | 52.5 | 35.6 | 3 | 1 | 76 | 408 | 63.0 | 90.1 | 29.7 | 42.9 | 36.3 | 53.5 | 47.0 | 67.3 | 76.5 | 0.4 | 14 | 26 |
| Venice-1 | 13.3 | 29.7 | 22.6 | 0 | 7 | 740 | 3,171 | 30.5 | 65.3 | 25.2 | 20.5 | 27.2 | 63.1 | 23.8 | 50.9 | 74.9 | 1.6 | 43 | 138 |
Raw data:
