Summary
Tracking
Tracker
- IOU_Tracker
- centroid_tracker
- Mean Shift
- CAM Shift
- Multiple Hypothesis Tracking (MHT)
- PN tracker
- GOTURN
- Probabilistic data association (PDA)
- Joint probabilistic data association (JPDA)
- Greedy Nearest Neighbor (GNN) Filter
- Kalman Filter
- Particle Filter
- Probability Hypothesis Density(PHD)
- Condensation
Data Association
2D Tracking
3D Tracking
edx Multi-Object Tracking for Automotive Systems
- README
- [Section 1 - Introduction to Multi-object Tracking](Lecture-edx/Section 1 - Introduction to Multi-object Tracking.md)
- [Section 2 - Single-object Tracking in Clutter](Lecture-edx/Section 2 - Single-object Tracking in Clutter.md)
- [Section 3 - Tracking n Targets](Lecture-edx/Section 3 - Tracking n Targets.md)
- [Section 4 - Random Finite Sets](Lecture-edx/Section 4 - Random Finite Sets.md)
- [Section 5 - MOT Using Conjugate Priors](Lecture-edx/Section 5 - MOT Using Conjugate Priors.md)
- [Section 6 - Outlook - What's Next?](Lecture-edx/Section 6 - Outlook - Whats Next.md)