Benchmark:
MOT17 |
Short name:
eHAF17
Detector:
Public
Description:
n/a
Reference:
H. Sheng, Y. Zhang, J. Chen, Z. Xiong, J. Zhang. Heterogeneous Association Graph Fusion for Target Association in Multiple Object Tracking. In IEEE Transactions on Circuits and Systems for Video Technology, 2018.
Last submitted:
December 28, 2017 (6 years ago)
Published:
September 01, 2018 at 05:40:26 CET
Submissions:
1
Project page / code:
n/a
Open source:
No
Hardware:
4 GHz, 4 Core
Runtime:
0.7 Hz
Benchmark performance:
Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
MOT17 | 51.8 | 54.7 | 43.4 | 551 (23.4) | 893 (37.9) | 33,212 | 236,772 | 58.0 | 90.8 | 44.3 | 42.8 | 49.7 | 70.1 | 46.3 | 72.5 | 80.0 | 1.9 | 1,834 (31.6) | 2,739 (47.2) |
Detailed performance:
Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
MOT17-01-DPM | 39.6 | 40.3 | 32.0 | 6 | 11 | 360 | 3,507 | 45.6 | 89.1 | 33.0 | 31.1 | 39.6 | 57.7 | 33.6 | 65.6 | 75.9 | 0.8 | 26 | 34 |
MOT17-01-FRCNN | 25.6 | 42.7 | 37.0 | 10 | 6 | 1,912 | 2,862 | 55.6 | 65.2 | 38.9 | 35.5 | 46.3 | 63.9 | 45.8 | 53.7 | 78.2 | 4.2 | 24 | 34 |
MOT17-01-SDP | 39.6 | 48.3 | 39.3 | 11 | 5 | 1,829 | 2,037 | 68.4 | 70.7 | 38.4 | 40.7 | 47.2 | 59.4 | 53.1 | 54.9 | 77.6 | 4.1 | 30 | 47 |
MOT17-03-DPM | 54.5 | 55.7 | 42.6 | 41 | 24 | 8,222 | 39,122 | 62.6 | 88.9 | 41.0 | 44.6 | 45.8 | 69.6 | 49.2 | 69.8 | 79.0 | 5.5 | 255 | 389 |
MOT17-03-FRCNN | 60.3 | 58.7 | 45.8 | 42 | 26 | 2,266 | 39,142 | 62.6 | 96.7 | 44.5 | 47.6 | 47.7 | 75.3 | 50.1 | 77.3 | 80.7 | 1.5 | 187 | 256 |
MOT17-03-SDP | 77.4 | 68.2 | 55.1 | 85 | 13 | 2,131 | 21,334 | 79.6 | 97.5 | 50.4 | 60.5 | 55.8 | 70.8 | 64.0 | 78.4 | 81.3 | 1.4 | 226 | 350 |
MOT17-06-DPM | 47.0 | 56.2 | 42.8 | 44 | 113 | 592 | 5,593 | 52.5 | 91.3 | 48.6 | 38.0 | 56.8 | 67.7 | 40.6 | 70.6 | 78.1 | 0.5 | 58 | 94 |
MOT17-06-FRCNN | 52.4 | 56.5 | 45.6 | 64 | 82 | 892 | 4,646 | 60.6 | 88.9 | 45.9 | 45.5 | 59.5 | 63.6 | 49.9 | 73.2 | 81.4 | 0.7 | 71 | 118 |
MOT17-06-SDP | 54.5 | 59.4 | 46.2 | 82 | 81 | 1,139 | 4,146 | 64.8 | 87.0 | 46.0 | 46.6 | 61.1 | 60.6 | 52.2 | 70.1 | 80.5 | 1.0 | 73 | 101 |
MOT17-07-DPM | 40.3 | 46.1 | 34.8 | 9 | 26 | 752 | 9,261 | 45.2 | 91.0 | 36.8 | 33.2 | 39.9 | 71.1 | 35.1 | 70.8 | 77.8 | 1.5 | 68 | 109 |
MOT17-07-FRCNN | 35.2 | 42.4 | 33.9 | 6 | 17 | 1,652 | 9,181 | 45.7 | 82.4 | 35.4 | 33.2 | 39.7 | 64.4 | 36.6 | 66.1 | 77.9 | 3.3 | 112 | 201 |
MOT17-07-SDP | 49.3 | 50.6 | 39.2 | 14 | 15 | 1,105 | 7,368 | 56.4 | 89.6 | 37.2 | 41.6 | 42.6 | 65.0 | 45.2 | 71.8 | 80.0 | 2.2 | 86 | 117 |
MOT17-08-DPM | 27.2 | 38.6 | 33.0 | 15 | 36 | 1,520 | 13,763 | 34.8 | 82.9 | 40.7 | 26.9 | 47.2 | 67.8 | 29.1 | 69.4 | 81.2 | 2.4 | 91 | 78 |
MOT17-08-FRCNN | 26.2 | 34.1 | 30.7 | 11 | 37 | 1,119 | 14,409 | 31.8 | 85.7 | 38.5 | 24.6 | 47.4 | 64.1 | 26.2 | 70.7 | 81.1 | 1.8 | 62 | 82 |
MOT17-08-SDP | 32.9 | 38.3 | 33.4 | 16 | 33 | 996 | 13,045 | 38.2 | 89.0 | 38.4 | 29.4 | 43.5 | 68.1 | 31.3 | 72.8 | 81.2 | 1.6 | 130 | 150 |
MOT17-12-DPM | 43.8 | 56.0 | 42.8 | 17 | 40 | 544 | 4,300 | 50.4 | 88.9 | 49.6 | 37.0 | 53.7 | 71.2 | 40.1 | 70.8 | 79.7 | 0.6 | 26 | 36 |
MOT17-12-FRCNN | 40.0 | 53.2 | 40.8 | 13 | 43 | 545 | 4,637 | 46.5 | 88.1 | 47.4 | 35.3 | 55.1 | 71.4 | 38.1 | 72.3 | 81.0 | 0.6 | 16 | 28 |
MOT17-12-SDP | 45.2 | 59.6 | 46.2 | 21 | 39 | 682 | 4,045 | 53.3 | 87.1 | 53.8 | 39.9 | 61.5 | 72.4 | 43.9 | 71.8 | 82.1 | 0.8 | 20 | 27 |
MOT17-14-DPM | 26.0 | 39.3 | 30.3 | 12 | 103 | 661 | 12,986 | 29.7 | 89.3 | 41.2 | 22.4 | 44.1 | 73.0 | 23.5 | 70.4 | 78.9 | 0.9 | 28 | 51 |
MOT17-14-FRCNN | 21.9 | 37.5 | 29.4 | 11 | 77 | 2,664 | 11,633 | 37.1 | 72.0 | 33.5 | 26.3 | 38.7 | 59.5 | 29.7 | 57.6 | 74.9 | 3.6 | 133 | 242 |
MOT17-14-SDP | 37.8 | 48.5 | 36.7 | 21 | 66 | 1,629 | 9,755 | 47.2 | 84.3 | 41.7 | 32.6 | 46.3 | 69.1 | 36.1 | 64.5 | 77.3 | 2.2 | 112 | 195 |
Raw data: