Object tracking is a computer vision technique that involves monitoring the movement of specific objects over time in a video or image sequence. This process typically uses algorithms to identify and follow the object, which can be anything from a person to a vehicle or even animals. The goal is to maintain the object's identity as it moves through different frames. In various applications, such as surveillance, autonomous vehicles, and augmented reality, object tracking plays a crucial role. It helps systems understand the environment and make decisions based on the object's behavior and position. Accurate tracking can enhance safety, improve user experiences, and enable advanced functionalities.