MOT20Det Results
Click on a measure to sort the table accordingly. See below for a more detailed description.
| Sequences | Frames | Trajectories | Boxes |
| 4 | 4479 | 1501 | 765465 |
Difficulty Analysis
Sequence difficulty (from easiest to hardest, measured by average AP)
MOT20-04
(0.00 AP)
MOT20-06
(0.00 AP)
MOT20-07
(0.00 AP)
MOT20-08
(0.00 AP)
Evaluation Measures
Lower is better. Higher is better.| Measure | Better | Perfect | Description |
| AP | higher | 1 | Average Precision taken over a set of reference recall values (0:0.1:1) |
| MODA | higher | 100% | Multi-Object Detection Accuracy [1]. This measure combines false positives and missed targets. |
| MODP | higher | 100% | Multi-Object Detection Precision [1]. The misalignment between the annotated and the predicted bounding boxes. |
| FAF | lower | 0 | The average number of false alarms per frame. |
| TP | higher | #GT | The total number of true positives. |
| FP | lower | 0 | The total number of false positives. |
| FN | lower | 0 | The total number of false negatives (missed targets). |
| Recall | higher | 100% | Ratio of correct detections to total number of GT boxes. |
| Precision | higher | 100% | Ratio of TP / (TP+FP). |
| F1 | higher | 100% | Harmonic mean of precision and recall. |
| Hz | higher | Inf. | Processing speed (in frames per second excluding the detector) on the benchmark. The frequency is provided by the authors and not officially evaluated by the MOTChallenge. |
Legend
| Symbol | Description |
 |
This is an online (causal) method, i.e. the solution is immediately available with each incoming frame and cannot be changed at any later time. |
 |
This method used the provided detection set as input. |
 |
This method used a private detection set as input. |
 |
This entry has been submitted or updated less than a week ago. |
References:
| [1] | Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics. Image and Video Processing, 2008(1):1-10, 2008. |
