Multiple Object Tracking 15
MOT2015 is a dataset for multiple object tracking. It contains 11 different indoor and outdoor scenes of public places with pedestrians as the objects of interest, where camera motion, camera angle and imaging condition vary greatly. The dataset provides detections generated by the ACF-based detector.
Source: FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking
Image Source: https://www.researchgate.net/figure/Exemplary-qualitative-tracking-results-for-the-MOT15-benchmark-dataset-a-d-are-from-a_fig1_340328377
Variants: 2DMOT15, 2D MOT 2015, MOT15
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Multi-Object Tracking | Baseline+MFW | Track to Detect and Segment: … | 2021-03-16 |
| Multi-Object Tracking | SORT | Simple Online and Realtime Tracking | 2016-02-02 |
Recent papers with results on this dataset: