CppSORT: Predict and Associate Online Tracker
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Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Benchmark:
MOT15 |
Short name:
CppSORT
Detector:
Public
Description:
n/a
Reference:
S. Murray. Real-Time Multiple Object Tracking - A Study on the Importance of Speed. In arXiv preprint arXiv:1709.03572, 2017.
Last submitted:
April 03, 2017 (5 years ago)
Published:
June 23, 2017 at 07:47:38 CET
Submissions:
1
Project page / code:
Open source:
Yes
Hardware:
1,8 GHz i5
Runtime:
1,112.1 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 | 21.7 | 26.8 | 21.1 | 27 (3.7) | 354 (49.1) | 8,422 | 38,454 | 37.4 | 73.2 | 18.1 | 25.1 | 19.1 | 72.8 | 28.6 | 55.9 | 75.2 | 1.5 | 1,231 (32.9) | 2,005 (53.6) |
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 | 9.0 | 22.7 | 19.8 | 6 | 8 | 3,523 | 4,757 | 48.9 | 56.4 | 14.7 | 27.4 | 15.3 | 72.7 | 37.8 | 43.5 | 75.5 | 7.0 | 189 | 292 |
| ADL-Rundle-3 | 23.3 | 26.8 | 22.3 | 3 | 11 | 2,000 | 5,630 | 44.6 | 69.4 | 17.5 | 28.9 | 18.8 | 71.8 | 34.6 | 53.8 | 76.0 | 3.2 | 172 | 218 |
| AVG-TownCentre | 20.3 | 33.2 | 23.1 | 7 | 107 | 469 | 5,100 | 28.7 | 81.4 | 26.9 | 20.2 | 28.5 | 71.8 | 21.5 | 61.0 | 74.4 | 1.0 | 131 | 259 |
| ETH-Crossing | 17.9 | 25.6 | 18.2 | 0 | 16 | 9 | 806 | 19.6 | 95.6 | 22.3 | 14.9 | 22.8 | 80.9 | 15.2 | 73.9 | 79.1 | 0.0 | 8 | 18 |
| ETH-Jelmoli | 36.3 | 46.4 | 31.8 | 5 | 15 | 206 | 1,358 | 46.5 | 85.1 | 31.4 | 32.4 | 32.9 | 75.6 | 35.6 | 65.2 | 77.5 | 0.5 | 52 | 88 |
| ETH-Linthescher | 13.7 | 19.1 | 16.4 | 3 | 156 | 62 | 7,581 | 15.1 | 95.6 | 23.8 | 11.4 | 24.7 | 78.8 | 11.6 | 73.2 | 78.1 | 0.1 | 65 | 119 |
| KITTI-16 | 30.1 | 36.3 | 23.7 | 0 | 3 | 111 | 1,033 | 39.3 | 85.8 | 20.3 | 27.8 | 21.2 | 69.2 | 29.9 | 65.3 | 76.2 | 0.5 | 45 | 87 |
| KITTI-19 | 19.1 | 31.1 | 22.8 | 2 | 22 | 849 | 3,346 | 37.4 | 70.2 | 21.1 | 25.6 | 22.4 | 67.5 | 28.7 | 53.8 | 71.3 | 0.8 | 126 | 263 |
| PETS09-S2L2 | 36.8 | 23.8 | 17.9 | 0 | 7 | 511 | 5,251 | 45.5 | 89.6 | 10.3 | 32.0 | 10.6 | 70.1 | 33.7 | 66.4 | 73.9 | 1.2 | 331 | 480 |
| TUD-Crossing | 50.6 | 48.1 | 32.5 | 1 | 2 | 22 | 489 | 55.6 | 96.5 | 26.3 | 40.4 | 27.6 | 71.0 | 42.3 | 73.3 | 77.8 | 0.1 | 33 | 57 |
| Venice-1 | 15.8 | 21.7 | 17.5 | 0 | 7 | 660 | 3,103 | 32.0 | 68.9 | 14.4 | 21.8 | 14.8 | 76.5 | 25.0 | 53.9 | 76.3 | 1.5 | 79 | 124 |
Raw data:
