Benchmark:
MOT16 |
Short name:
MobileJDE
Detector:
Private
Description:
MobileNet-Based Joint Detection and Eembedding with input size of 512x512 and Kalman Filter based data association
Reference:
C.-Y. Tsai and Y.-K. Su, “MobileNet-JDE: A Lightweight Multi-Object Tracking Model for Embedded Systems,” Multimedia Tools and Applications, Vol. 81, No. 7, pp. 9915-9937, 2022.
Last submitted:
October 30, 2020 (3 years ago)
Published:
October 30, 2020 at 02:44:46 CET
Submissions:
2
Project page / code:
n/a
Open source:
No
Hardware:
3.6GHZ, 4 Cores
Runtime:
41.2 Hz
Benchmark performance:
Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
MOT16 | 59.1 | 52.6 | 42.3 | 209 (27.5) | 186 (24.5) | 9,899 | 62,475 | 65.7 | 92.4 | 37.8 | 47.9 | 45.4 | 60.1 | 51.9 | 73.0 | 79.6 | 1.7 | 2,219 (33.8) | 4,281 (65.1) |
Detailed performance:
Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
MOT16-01 | 40.4 | 36.6 | 30.8 | 7 | 9 | 535 | 3,216 | 49.7 | 85.6 | 27.0 | 35.3 | 33.6 | 55.5 | 38.9 | 67.0 | 78.4 | 1.2 | 63 | 136 |
MOT16-03 | 71.9 | 59.0 | 47.4 | 70 | 11 | 4,831 | 23,887 | 77.2 | 94.3 | 40.2 | 56.4 | 47.7 | 62.1 | 60.8 | 74.4 | 79.7 | 3.2 | 694 | 1,780 |
MOT16-06 | 59.6 | 54.6 | 43.1 | 83 | 40 | 1,013 | 3,355 | 70.9 | 89.0 | 37.6 | 50.0 | 52.5 | 52.7 | 56.1 | 70.4 | 80.2 | 0.8 | 295 | 390 |
MOT16-07 | 43.7 | 41.5 | 33.1 | 8 | 9 | 1,420 | 7,343 | 55.0 | 86.3 | 28.8 | 38.9 | 32.9 | 51.9 | 43.0 | 67.4 | 77.7 | 2.8 | 433 | 693 |
MOT16-08 | 37.7 | 39.6 | 33.7 | 11 | 19 | 794 | 9,387 | 43.9 | 90.3 | 33.8 | 33.9 | 39.3 | 59.9 | 36.2 | 74.4 | 82.0 | 1.3 | 254 | 348 |
MOT16-12 | 51.5 | 50.6 | 41.4 | 18 | 31 | 331 | 3,611 | 56.5 | 93.4 | 40.3 | 42.9 | 53.6 | 55.4 | 45.8 | 75.8 | 81.8 | 0.4 | 77 | 133 |
MOT16-14 | 29.4 | 35.6 | 26.3 | 12 | 67 | 975 | 11,676 | 36.8 | 87.5 | 26.4 | 26.5 | 29.2 | 60.2 | 28.2 | 67.0 | 76.7 | 1.3 | 403 | 801 |
Raw data: