Moving object detection is a research area that focuses on identifying and tracking objects in video sequences. This can include cars, pedestrians, animals, and other moving objects. The goal of moving object detection is to accurately identify and track objects in real-time, despite changes in lighting, weather, and other environmental conditions.
Some of the key challenges in moving object detection include dealing with occlusion, background clutter, and changes in object appearance. To address these challenges, researchers often use a combination of computer vision techniques such as background subtraction, feature extraction, and object tracking.