Vision based Motion Detection and Tracking
This was a course project for Advanced Vision (MSc. Artificial Intelligence, University of Edinburgh). The goal was to build a system for detecting motion in an indoor environment and tracking detected objects based on color distribution using a stationary color camera. A background image served as a reference. Motion was detected via simple pixel subtraction between the background and subsequent frames. Detected moving objects were classified and assigned IDs based on color information. In later frames, objects were tracked by matching their color distribution (using Bhattacharyya distance) to objects detected in the previous frame, maintaining consistent IDs.