AdTobKF: Adaptive Tobit Kalman-based tracking
ETH-Linthescher
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:
AdTobKF
Detector:
Public
Description:
n/a
Reference:
K. Loumponias, A. Dimou, N. Vretos, P. Daras. Adaptive Tobit Kalman-Based Tracking. In 2018 14th International Conference on Signal-Image Technology \& Internet-Based Systems (SITIS), 2018.
Last submitted:
November 20, 2017 (7 years ago)
Published:
July 12, 2019 at 17:00:44 CET
Submissions:
3
Project page / code:
n/a
Open source:
No
Hardware:
Runtime:
206.5 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 | 24.8 | 34.5 | 26.1 | 29 (4.0) | 375 (52.0) | 6,201 | 39,321 | 36.0 | 78.1 | 27.6 | 25.1 | 30.2 | 66.8 | 27.6 | 59.8 | 74.7 | 1.1 | 666 (18.5) | 1,300 (36.1) |
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 | 18.7 | 38.4 | 29.5 | 4 | 9 | 2,226 | 5,284 | 43.2 | 64.4 | 33.0 | 27.0 | 36.7 | 68.0 | 33.5 | 49.8 | 75.7 | 4.5 | 60 | 138 |
| ADL-Rundle-3 | 30.6 | 38.5 | 27.4 | 2 | 15 | 816 | 6,177 | 39.2 | 83.0 | 27.7 | 27.4 | 29.4 | 71.7 | 29.8 | 63.1 | 76.3 | 1.3 | 60 | 112 |
| AVG-TownCentre | 22.1 | 36.5 | 26.3 | 8 | 104 | 574 | 4,888 | 31.6 | 79.7 | 30.5 | 23.2 | 33.5 | 65.2 | 24.6 | 61.9 | 72.8 | 1.3 | 106 | 231 |
| ETH-Crossing | 16.1 | 21.6 | 15.5 | 0 | 18 | 7 | 827 | 17.5 | 96.2 | 18.2 | 13.3 | 18.6 | 83.0 | 13.5 | 74.0 | 78.3 | 0.0 | 8 | 8 |
| ETH-Jelmoli | 35.9 | 48.0 | 32.9 | 6 | 18 | 161 | 1,429 | 43.7 | 87.3 | 34.9 | 31.1 | 39.3 | 65.5 | 33.5 | 67.0 | 77.0 | 0.4 | 36 | 56 |
| ETH-Linthescher | 10.4 | 16.1 | 15.8 | 1 | 169 | 65 | 7,902 | 11.5 | 94.1 | 28.9 | 8.7 | 31.1 | 74.6 | 8.8 | 72.1 | 77.5 | 0.1 | 34 | 55 |
| KITTI-16 | 39.2 | 52.0 | 33.4 | 1 | 3 | 145 | 869 | 48.9 | 85.2 | 33.2 | 33.7 | 35.7 | 66.5 | 36.9 | 64.2 | 75.4 | 0.7 | 21 | 52 |
| KITTI-19 | 22.9 | 37.3 | 27.4 | 2 | 20 | 849 | 3,192 | 40.3 | 71.7 | 27.0 | 28.3 | 30.5 | 58.9 | 31.5 | 56.0 | 71.5 | 0.8 | 81 | 213 |
| PETS09-S2L2 | 38.2 | 31.3 | 24.5 | 3 | 7 | 847 | 4,892 | 49.3 | 84.9 | 17.7 | 34.3 | 19.0 | 60.4 | 37.0 | 63.7 | 73.3 | 1.9 | 221 | 348 |
| TUD-Crossing | 53.0 | 56.5 | 37.8 | 2 | 3 | 23 | 482 | 56.3 | 96.4 | 35.4 | 40.5 | 40.0 | 61.1 | 42.3 | 72.6 | 77.2 | 0.1 | 13 | 26 |
| Venice-1 | 14.7 | 26.3 | 20.5 | 0 | 9 | 488 | 3,379 | 25.9 | 70.8 | 23.0 | 18.3 | 24.1 | 70.7 | 20.3 | 55.5 | 76.3 | 1.1 | 26 | 61 |
Raw data:
