Introduction
- Multiple Object Tracking (MOT) is the task of locating objects in a sequence of frames (video or live) and match the found objects between the frames.
- Tracking objects is known and important task in Computer Vision, as it has many use cases.
- Tracking of military vehicles helps get a better understanding of the battlefield at real time and take us one step closer to autonomous systems.
Project Goals
- Track multiple military vehicles videos:
- Detect (locate + classify) tanks, rocket launchers, etc. on one frame
- Match detections from multiple frames
- Robust and efficient algorithm for varying conditions
Project Summery
- Created a database with ~4000 images of military vehicles, using automated script for downloading images from Google images (using Python)
- Train YOLOv5 objects detector, do enable detecting military vehicles on a single frame.
- Combine the detector with DeepSORT algorithm for multiple object tracking