ConfTrack: tracking-by-detection utilizing detection confidence score
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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.
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.
Short name:
ConfTrack
Detector:
Private
Description:
Reference:
H. Jung, S. Kang, T. Kim, H. Kim. ConfTrack: Kalman Filter-Based Multi-Person Tracking by Utilizing Confidence Score of Detection Box. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024.
Last submitted:
June 09, 2023 (10 months ago)
Published:
October 25, 2023 at 09:22:58 CET
Submissions:
2
Project page / code:
Open source:
Yes
Hardware:
3.70GHz × 20
Runtime:
18.3 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 | 80.0 | 81.2 | 65.4 | 1,383 (58.7) | 300 (12.7) | 42,411 | 69,411 | 87.7 | 92.1 | 66.3 | 64.8 | 72.4 | 79.2 | 72.2 | 75.9 | 82.8 | 2.4 | 1,155 (0.0) | 1,677 (0.0) |
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 | 52.5 | 68.4 | 55.6 | 15 | 5 | 1,427 | 1,630 | 74.7 | 77.2 | 62.8 | 49.3 | 69.1 | 76.8 | 61.9 | 63.9 | 83.0 | 3.2 | 7 | 13 |
| MOT17-01-FRCNN | 52.5 | 68.4 | 55.6 | 15 | 5 | 1,427 | 1,630 | 74.7 | 77.2 | 62.8 | 49.3 | 69.1 | 76.8 | 61.9 | 63.9 | 83.0 | 3.2 | 7 | 13 |
| MOT17-01-SDP | 52.5 | 68.4 | 55.6 | 15 | 5 | 1,427 | 1,630 | 74.7 | 77.2 | 62.8 | 49.3 | 69.1 | 76.8 | 61.9 | 63.9 | 83.0 | 3.2 | 7 | 13 |
| MOT17-03-DPM | 93.0 | 90.3 | 73.2 | 144 | 0 | 4,685 | 2,647 | 97.5 | 95.6 | 72.9 | 73.7 | 78.0 | 81.6 | 80.1 | 78.6 | 82.9 | 3.1 | 38 | 72 |
| MOT17-03-FRCNN | 93.0 | 90.3 | 73.2 | 144 | 0 | 4,685 | 2,647 | 97.5 | 95.6 | 72.9 | 73.7 | 78.0 | 81.6 | 80.1 | 78.6 | 82.9 | 3.1 | 38 | 72 |
| MOT17-03-SDP | 93.0 | 90.3 | 73.2 | 144 | 0 | 4,685 | 2,647 | 97.5 | 95.6 | 72.9 | 73.7 | 78.0 | 81.6 | 80.1 | 78.6 | 82.9 | 3.1 | 38 | 72 |
| MOT17-06-DPM | 62.0 | 66.7 | 51.5 | 112 | 48 | 1,661 | 2,745 | 76.7 | 84.5 | 50.1 | 53.2 | 70.6 | 61.5 | 62.5 | 68.8 | 81.6 | 1.4 | 76 | 112 |
| MOT17-06-FRCNN | 62.0 | 66.7 | 51.5 | 112 | 48 | 1,661 | 2,745 | 76.7 | 84.5 | 50.1 | 53.2 | 70.6 | 61.5 | 62.5 | 68.8 | 81.6 | 1.4 | 76 | 112 |
| MOT17-06-SDP | 62.0 | 66.7 | 51.5 | 112 | 48 | 1,661 | 2,745 | 76.7 | 84.5 | 50.1 | 53.2 | 70.6 | 61.5 | 62.5 | 68.8 | 81.6 | 1.4 | 76 | 112 |
| MOT17-07-DPM | 76.5 | 72.7 | 58.9 | 38 | 3 | 918 | 2,997 | 82.3 | 93.8 | 55.4 | 62.9 | 59.2 | 81.0 | 68.5 | 78.2 | 83.4 | 1.8 | 50 | 80 |
| MOT17-07-FRCNN | 76.5 | 72.7 | 58.9 | 38 | 3 | 918 | 2,997 | 82.3 | 93.8 | 55.4 | 62.9 | 59.2 | 81.0 | 68.5 | 78.2 | 83.4 | 1.8 | 50 | 80 |
| MOT17-07-SDP | 76.5 | 72.7 | 58.9 | 38 | 3 | 918 | 2,997 | 82.3 | 93.8 | 55.4 | 62.9 | 59.2 | 81.0 | 68.5 | 78.2 | 83.4 | 1.8 | 50 | 80 |
| MOT17-08-DPM | 67.5 | 64.6 | 53.3 | 43 | 7 | 1,921 | 4,820 | 77.2 | 89.5 | 50.5 | 57.0 | 57.8 | 72.1 | 64.1 | 74.3 | 82.6 | 3.1 | 128 | 134 |
| MOT17-08-FRCNN | 67.5 | 64.6 | 53.3 | 43 | 7 | 1,921 | 4,820 | 77.2 | 89.5 | 50.5 | 57.0 | 57.8 | 72.1 | 64.1 | 74.3 | 82.6 | 3.1 | 128 | 134 |
| MOT17-08-SDP | 67.5 | 64.6 | 53.3 | 43 | 7 | 1,921 | 4,820 | 77.2 | 89.5 | 50.5 | 57.0 | 57.8 | 72.1 | 64.1 | 74.3 | 82.6 | 3.1 | 128 | 134 |
| MOT17-12-DPM | 52.3 | 72.7 | 60.2 | 56 | 10 | 2,728 | 1,383 | 84.0 | 72.8 | 68.4 | 53.2 | 76.2 | 79.6 | 71.9 | 62.2 | 84.9 | 3.0 | 25 | 55 |
| MOT17-12-FRCNN | 52.3 | 72.7 | 60.2 | 56 | 10 | 2,728 | 1,383 | 84.0 | 72.8 | 68.4 | 53.2 | 76.2 | 79.6 | 71.9 | 62.2 | 84.9 | 3.0 | 25 | 55 |
| MOT17-12-SDP | 52.3 | 72.7 | 60.2 | 56 | 10 | 2,728 | 1,383 | 84.0 | 72.8 | 68.4 | 53.2 | 76.2 | 79.6 | 71.9 | 62.2 | 84.9 | 3.0 | 25 | 55 |
| MOT17-14-DPM | 57.9 | 69.9 | 50.4 | 53 | 27 | 797 | 6,915 | 62.6 | 93.6 | 54.5 | 46.8 | 58.2 | 78.0 | 50.3 | 75.1 | 81.2 | 1.1 | 61 | 93 |
| MOT17-14-FRCNN | 57.9 | 69.9 | 50.4 | 53 | 27 | 797 | 6,915 | 62.6 | 93.6 | 54.5 | 46.8 | 58.2 | 78.0 | 50.3 | 75.1 | 81.2 | 1.1 | 61 | 93 |
| MOT17-14-SDP | 57.9 | 69.9 | 50.4 | 53 | 27 | 797 | 6,915 | 62.6 | 93.6 | 54.5 | 46.8 | 58.2 | 78.0 | 50.3 | 75.1 | 81.2 | 1.1 | 61 | 93 |
Raw data:
