Short name:
EDMT
Benchmark:
Description:
n/a
Hardware:
3GHZ, 8 Core
Detector:
Public
Processing:
Batch
Last submitted:
April 10, 2017 (1 year ago)
Published:
April 10, 2017 at 15:07:59 CET
Submissions:
1
Open source:
No
Project page / code:
n/a
Reference:
J. Chen, H. Sheng, Y. Zhang, Z. Xiong. Enhancing Detection Model for Multiple Hypothesis Tracking. In BMTT-PETS CVPRw, 2017.
Benchmark performance:
MOTA | MOTP | FAF | MT | ML | FP | FN | ID Sw. | Frag | Specifications | Detector |
45.3 | 75.9 | 1.9 | 17.0 % | 39.9 % | 11,122 | 87,890 | 639 | 946 | 3GHZ, 8 Core | Public |
IDF1 | ID Precision | ID Recall |
47.9 | 65.3 | 37.8 |
Detailed performance:
Sequence | MOTA | IDF1 | MOTP | FAF | GT | MT | ML | FP | FN | ID Sw | Frag |
MOT16-01 | 35.3 | 44.0 | 72.3 | 0.3 | 23 | 26.1 % | 43.5 % | 150 | 3,975 | 15 | 41 |
MOT16-03 | 51.2 | 48.8 | 75.9 | 4.8 | 148 | 24.3 % | 18.9 % | 7,182 | 43,487 | 319 | 479 |
MOT16-06 | 49.8 | 59.9 | 74.6 | 0.4 | 221 | 20.8 % | 47.1 % | 430 | 5,308 | 53 | 91 |
MOT16-07 | 46.1 | 48.7 | 74.9 | 1.2 | 54 | 14.8 % | 27.8 % | 614 | 8,114 | 72 | 103 |
MOT16-08 | 32.3 | 37.3 | 80.0 | 1.4 | 63 | 11.1 % | 33.3 % | 846 | 10,396 | 85 | 87 |
MOT16-12 | 43.1 | 56.0 | 77.7 | 0.8 | 86 | 19.8 % | 40.7 % | 739 | 3,948 | 31 | 40 |
MOT16-14 | 24.9 | 38.8 | 75.0 | 1.5 | 164 | 5.5 % | 54.9 % | 1,161 | 12,662 | 64 | 105 |
Raw data: