Object tracking is a fundamental task in computer vision that involves locating and following one or more moving objects over time through a sequence of video frames. Unlike object detection, which identifies objects in a single image, tracking aims to associate these detections across frames to generate a consistent trajectory or path for each object, even when faced with challenges like occlusion or changes in appearance. By analyzing the temporal and spatial information, tracking algorithms are essential for a wide range of applications, including autonomous vehicle navigation, video surveillance, robotics, and sports analytics.