Visual Object Tracking

Visual Object Tracking is the process of automatically locating and following a specific object in a sequence of video frames. Once the object is identified in the initial frame, the tracking system continuously predicts and updates its position in subsequent frames, despite changes in its appearance, movement, or background. This technology is used in various fields like surveillance, robotics, and autonomous vehicles to monitor objects in real-time, helping systems respond appropriately. It relies on algorithms that analyze visual features such as color, shape, and motion to maintain accurate tracking throughout the video.