Multi-Object Tracking Models
Track objects as points
Introduced by Zhou et al. in Tracking Objects as PointsOur tracker, CenterTrack, applies a detection model to a pair of images and detections from the prior frame. Given this minimal input, CenterTrack localizes objects and predicts their associations with the previous frame. That's it. CenterTrack is simple, online (no peeking into the future), and real-time.
Source: Tracking Objects as PointsPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Object Tracking | 9 | 28.13% |
| Multiple Object Tracking | 6 | 18.75% |
| Multi-Object Tracking | 6 | 18.75% |
| Object Detection | 5 | 15.63% |
| Autonomous Driving | 2 | 6.25% |
| road scene understanding | 1 | 3.13% |
| Object Localization | 1 | 3.13% |
| Online Multi-Object Tracking | 1 | 3.13% |
| Cell Tracking | 1 | 3.13% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
