Object tracking is a fundamental problem in computer vision and signal processing that involves locating a specific object or multiple objects within a sequence of images or frames and estimating their trajectory over time. This academic concept investigates methodologies for reliably identifying and maintaining the identity of target objects despite challenges such as changes in appearance, illumination, pose, scale, occlusion, and cluttered backgrounds, holding significant importance for applications in surveillance, autonomous systems, human-computer interaction, and video analysis.