Learned Mesh-Based Object Global Coordinate Estimation for Vehicle Tracking in Close Surveillance Environments Using Fisheye Cameras

Artificial intelligence-based methods for detecting and tracking objects in videos, typically represented by bounding boxes, are well established. However, accurately determining the global coordinates of these bounding boxes, especially in environments monitored by fisheye cameras, presents unique challenges. These challenges stem from significant variations in the bounding box