Tracker Comparison
This page shows head-to-head performance of SORT, ByteTrack, and OC-SORT on standard MOT benchmarks. Results are shown with default parameters and with parameter-tuned configurations found via grid search.
MOT17
Pedestrian tracking with crowded scenes and frequent occlusions. Strongly tests re-identification and identity stability.
Visualization of ground-truth annotations for MOT17.
Info
Parameters were tuned on the validation set. Results are reported on the test set via Codabench submission. Detections come from a YOLOX model.
Results using default tracker parameters.
| Tracker | HOTA | IDF1 | MOTA |
|---|---|---|---|
| SORT | 58.4 | 69.9 | 67.2 |
| ByteTrack | 60.1 | 73.2 | 74.1 |
| OC-SORT | 61.9 | 76.4 | 76.0 |
Results after grid search over tracker parameters.
| Tracker | HOTA | IDF1 | MOTA |
|---|---|---|---|
| SORT | 60.4 | 72.5 | 75.8 |
| ByteTrack | 60.5 | 72.7 | 76.1 |
| OC-SORT | 62.0 | 76.5 | 77.3 |
Tuned configuration for each tracker.
SORT:
lost_track_buffer: 10
track_activation_threshold: 0.75
minimum_consecutive_frames: 2
minimum_iou_threshold: 0.3
ByteTrack:
lost_track_buffer: 10
track_activation_threshold: 0.7
minimum_consecutive_frames: 1
minimum_iou_threshold: 0.3
high_conf_det_threshold: 0.5
OC-SORT:
lost_track_buffer: 30
minimum_iou_threshold: 0.3
minimum_consecutive_frames: 3
direction_consistency_weight: 0.2
high_conf_det_threshold: 0.4
delta_t: 1
SportsMOT
Sports broadcast tracking with fast motion, camera pans, and similar-looking targets. Tests association under speed and appearance ambiguity.
Visualization of ground-truth annotations for SportsMOT.
Info
Parameters were tuned on the validation set. Results are reported on the test set via Codabench submission. Detections come from a YOLOX model.
Results using default tracker parameters.
| Tracker | HOTA | IDF1 | MOTA |
|---|---|---|---|
| SORT | 70.9 | 68.9 | 95.7 |
| ByteTrack | 73.0 | 72.5 | 96.4 |
| OC-SORT | 71.7 | 71.4 | 95.0 |
Results after grid search over tracker parameters.
| Tracker | HOTA | IDF1 | MOTA |
|---|---|---|---|
| SORT | 72.9 | 73.0 | 95.8 |
| ByteTrack | 73.3 | 73.5 | 95.9 |
| OC-SORT | 74.0 | 75.4 | 95.6 |
Tuned configuration for each tracker.
SORT:
lost_track_buffer: 60
track_activation_threshold: 0.9
minimum_consecutive_frames: 2
minimum_iou_threshold: 0.05
ByteTrack:
lost_track_buffer: 10
track_activation_threshold: 0.9
minimum_consecutive_frames: 1
minimum_iou_threshold: 0.05
high_conf_det_threshold: 0.7
OC-SORT:
lost_track_buffer: 60
minimum_iou_threshold: 0.1
minimum_consecutive_frames: 3
direction_consistency_weight: 0.2
high_conf_det_threshold: 0.6
delta_t: 3
SoccerNet-tracking
Long sequences with dense interactions and partial occlusions. Tests long-term ID consistency.
Visualization of ground-truth annotations for SoccerNet.
Info
Parameters were tuned on the train set. Results are reported on the test set. SoccerNet-tracking has no validation split. This dataset provides oracle (ground-truth) detections.
Results using default tracker parameters.
| Tracker | HOTA | IDF1 | MOTA |
|---|---|---|---|
| SORT | 81.6 | 76.2 | 95.1 |
| ByteTrack | 84.0 | 78.1 | 97.8 |
| OC-SORT | 78.4 | 72.6 | 94.1 |
Results after grid search over tracker parameters.
| Tracker | HOTA | IDF1 | MOTA |
|---|---|---|---|
| SORT | 84.2 | 78.2 | 98.2 |
| ByteTrack | 84.0 | 78.1 | 97.8 |
| OC-SORT | 82.9 | 77.9 | 96.8 |
Tuned configuration for each tracker.
SORT:
lost_track_buffer: 30
track_activation_threshold: 0.25
minimum_consecutive_frames: 2
minimum_iou_threshold: 0.05
ByteTrack:
lost_track_buffer: 30
track_activation_threshold: 0.5
minimum_consecutive_frames: 2
minimum_iou_threshold: 0.1
high_conf_det_threshold: 0.5
OC-SORT:
lost_track_buffer: 60
minimum_iou_threshold: 0.1
minimum_consecutive_frames: 3
direction_consistency_weight: 0.2
high_conf_det_threshold: 0.4
delta_t: 1
DanceTrack
Group dancing tracking with uniform appearance, diverse motions, and extreme articulation. Tests motion-based association without relying on visual discrimination.
Visualization of ground-truth annotations for DanceTrack.
Warning
DanceTrack test set evaluation is currently unavailable because CodaLab, which hosted the benchmark, has been discontinued. Migration to Codabench is in progress. Results below use the validation set instead.
Info
Parameters were tuned on the train set. Results are reported on the validation set. This dataset provides oracle (ground-truth) detections.
Results using default tracker parameters.
| Tracker | HOTA | IDF1 | MOTA |
|---|---|---|---|
| SORT | 45.0 | 39.0 | 80.6 |
| ByteTrack | 50.2 | 49.9 | 86.2 |
| OC-SORT | 51.8 | 50.9 | 87.3 |
Results after grid search over tracker parameters.
| Tracker | HOTA | IDF1 | MOTA |
|---|---|---|---|
| SORT | 50.6 | 49.6 | 84.3 |
| ByteTrack | 53.2 | 54.6 | 86.8 |
| OC-SORT | 52.0 | 51.8 | 87.2 |
Tuned configuration for each tracker.
SORT:
lost_track_buffer: 10
track_activation_threshold: 0.9
minimum_consecutive_frames: 2
minimum_iou_threshold: 0.05
ByteTrack:
lost_track_buffer: 60
track_activation_threshold: 0.9
minimum_consecutive_frames: 1
minimum_iou_threshold: 0.1
high_conf_det_threshold: 0.5
OC-SORT:
lost_track_buffer: 30
minimum_iou_threshold: 0.1
minimum_consecutive_frames: 3
direction_consistency_weight: 0.2
high_conf_det_threshold: 0.6
delta_t: 1
Methodology
Detections
Each dataset uses one of two detection sources: oracle detections (ground-truth bounding boxes provided by the dataset) or model detections (produced by a YOLOX detector following the ByteTrack procedure). The source is noted per dataset above.
Tuning
Best parameters per tracker and dataset were found via grid search, selecting the configuration with the highest HOTA. Tuning and evaluation always use separate data splits to reflect real-world usage:
- Train + validation + test: tune on validation, report on test.
- Train + validation: tune on train, report on validation.
- Train + test: tune on train, report on test.