Trafficdetection
We implement a system for vehicle detection and tracking from traffic video using Gaussian mixture models and Bayesian estimation. The system provides robust foreground segmentation of moving vehicles through a K-means clustering approximation as well as vehicle tracking correspondence between frames by correlating Kalman and particle filters.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Ampis | 10 | 2 years ago | mit | Python | ||||||
| Automated Materials Particle Instance Segmentation (AMPIS) utilizing Mask R-CNN | ||||||||||
| Trafficdetection | 9 | 8 years ago | 4 | Matlab | ||||||
| We implement a system for vehicle detection and tracking from traffic video using Gaussian mixture models and Bayesian estimation. The system provides robust foreground segmentation of moving vehicles through a K-means clustering approximation as well as vehicle tracking correspondence between frames by correlating Kalman and particle filters. | ||||||||||
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Matlab
Segmentation
Particles
Vehicle
Vehicle Detection