Benchmark:
MOT15 |
Short name:
SiameseCNN
Detector:
Public
Description:
n/a
Reference:
Laura Leal-Taixé, Cristian Canton-Ferrer, Konrad Schindler. Learning by Tracking: Siamese CNN for Robust Target Association. DeepVision Workshop (CVPR), Las Vegas (Nevada, USA), June 2016.
Last submitted:
November 06, 2015 (8 years ago)
Published:
July 05, 2016 at 16:47:42 CET
Submissions:
1
Project page / code:
n/a
Open source:
No
Hardware:
3 Ghz 24 cores
Runtime:
52.8 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 | 29.0 | 34.3 | 0.0 | 61 (8.5) | 349 (48.4) | 5,160 | 37,798 | 38.5 | 82.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9 | 639 (16.6) | 1,316 (34.2) |
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 | 25.6 | 41.6 | 0.0 | 9 | 9 | 1,999 | 4,896 | 47.4 | 68.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 33 | 104 |
ADL-Rundle-3 | 39.7 | 44.0 | 0.0 | 5 | 15 | 191 | 5,906 | 41.9 | 95.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 33 | 42 |
AVG-TownCentre | 19.3 | 9.1 | 0.0 | 10 | 101 | 698 | 4,927 | 31.1 | 76.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.6 | 142 | 289 |
ETH-Crossing | 27.5 | 32.8 | 0.0 | 1 | 17 | 20 | 703 | 29.9 | 93.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 4 | 6 |
ETH-Jelmoli | 42.3 | 50.4 | 0.0 | 11 | 14 | 315 | 1,119 | 55.9 | 81.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 30 | 61 |
ETH-Linthescher | 16.7 | 23.2 | 0.0 | 9 | 155 | 93 | 7,333 | 17.9 | 94.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 9 | 27 |
KITTI-16 | 36.9 | 37.7 | 0.0 | 0 | 3 | 68 | 981 | 42.3 | 91.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 24 | 53 |
KITTI-19 | 26.7 | 38.6 | 0.0 | 4 | 18 | 697 | 3,151 | 41.0 | 75.9 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 70 | 276 |
PETS09-S2L2 | 34.5 | 27.0 | 0.0 | 3 | 8 | 672 | 5,364 | 44.4 | 86.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | 282 | 424 |
TUD-Crossing | 73.7 | 67.4 | 0.0 | 9 | 2 | 85 | 197 | 82.1 | 91.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 8 | 10 |
Venice-1 | 22.3 | 40.4 | 0.0 | 0 | 7 | 322 | 3,221 | 29.4 | 80.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 4 | 24 |
Raw data: