Tracking
Detection
//Vehicle Detection and Tracking
Project Insights
Using State of the Art Object Detection Models we are able to detect and track different vehicles in complex scenarios. By implementing tracking algorithms our system is also able to re-identify the same vehicle across multiple cameras. It is of high importance to be able to distinguish between different cars, but it is also important to be able to recognize the same object as being the same identity. We continually monitor our surroundings while driving. Whether we are observing other vehicles, people walking, or other roadside objects, we pay close attention to the position of any potential dangers. It is crucial for autonomous vehicles to be able to recognize and take decisions given the same challenges.01.
Vehicle Detection and Tracking
Real World Vehicle Detection and Tracking
- Computer Vision : Object Detection
- Feature Extraction : Embedding Learning
- Multi-camera : Re-Identification
- Occupancy : Motion prediction
- Technologies : PyTorch, Triton