AVG-TownCentre
Benchmark:
MOT15 |
Short name:
RSCNN
Detector:
Public
Description:
n/a
Reference:
Heba Mahgoub, Khaled Mostafa, Khaled T. Wassif and Ibrahim Farag, “Multi-Target Tracking Using Hierarchical Convolutional Features and Motion Cues” International Journal of Advanced Computer Science and Applications(IJACSA), 8(11), 2017.
Last submitted:
October 07, 2017 (6 years ago)
Published:
July 08, 2017 at 23:21:06 CET
Submissions:
4
Project page / code:
n/a
Open source:
No
Hardware:
Runtime:
4.0 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 | 29.5 | 37.0 | 29.6 | 93 (12.9) | 262 (36.3) | 11,866 | 30,474 | 50.4 | 72.3 | 27.2 | 32.6 | 30.0 | 67.1 | 39.2 | 56.2 | 76.7 | 2.1 | 976 (19.4) | 1,176 (23.3) |
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 | 20.1 | 33.1 | 28.8 | 8 | 3 | 3,457 | 3,828 | 58.9 | 61.3 | 25.4 | 33.3 | 26.9 | 72.6 | 45.7 | 47.6 | 76.3 | 6.9 | 150 | 152 |
ADL-Rundle-3 | 36.0 | 39.1 | 30.8 | 7 | 8 | 1,250 | 5,171 | 49.1 | 80.0 | 27.0 | 35.2 | 28.3 | 75.2 | 40.0 | 65.1 | 80.1 | 2.0 | 86 | 81 |
AVG-TownCentre | 28.6 | 40.1 | 30.0 | 20 | 79 | 748 | 4,157 | 41.8 | 80.0 | 31.2 | 29.6 | 35.6 | 65.5 | 32.3 | 61.7 | 73.9 | 1.7 | 200 | 283 |
ETH-Crossing | 26.9 | 30.4 | 23.2 | 1 | 18 | 22 | 706 | 29.6 | 93.1 | 23.5 | 22.8 | 26.3 | 70.0 | 23.7 | 74.6 | 81.1 | 0.1 | 5 | 5 |
ETH-Jelmoli | 51.1 | 57.6 | 42.1 | 14 | 14 | 339 | 869 | 65.7 | 83.1 | 41.0 | 43.3 | 46.7 | 68.7 | 50.9 | 64.3 | 79.4 | 0.8 | 33 | 41 |
ETH-Linthescher | 35.4 | 40.4 | 31.3 | 17 | 116 | 143 | 5,572 | 37.6 | 95.9 | 34.2 | 28.8 | 37.0 | 75.7 | 29.8 | 76.0 | 80.1 | 0.1 | 55 | 64 |
KITTI-16 | 41.3 | 42.0 | 31.4 | 2 | 1 | 311 | 646 | 62.0 | 77.2 | 25.1 | 39.7 | 30.7 | 46.2 | 47.5 | 59.1 | 76.3 | 1.5 | 42 | 57 |
KITTI-19 | 30.8 | 44.5 | 30.8 | 7 | 14 | 1,025 | 2,579 | 51.7 | 72.9 | 29.8 | 32.3 | 34.4 | 58.0 | 38.1 | 53.6 | 72.5 | 1.0 | 95 | 160 |
PETS09-S2L2 | 40.0 | 29.3 | 23.4 | 4 | 6 | 678 | 4,885 | 49.3 | 87.5 | 15.9 | 34.7 | 17.3 | 57.1 | 37.4 | 66.4 | 75.6 | 1.6 | 222 | 255 |
TUD-Crossing | 75.5 | 63.8 | 45.5 | 8 | 0 | 43 | 209 | 81.0 | 95.4 | 36.0 | 57.6 | 43.9 | 58.5 | 62.6 | 73.7 | 79.3 | 0.2 | 18 | 18 |
Venice-1 | -26.5 | 23.7 | 23.3 | 5 | 3 | 3,850 | 1,852 | 59.4 | 41.3 | 21.5 | 25.8 | 23.9 | 59.2 | 46.6 | 32.4 | 73.3 | 8.6 | 70 | 60 |
Raw data: