Object tracking is the process of locating and following objects of interest in a video sequence or real-time environment. This research area involves developing algorithms and techniques to track objects through complex scenes, handle occlusions and changes in appearance, and maintain the identity of objects over time. Object tracking has applications in various fields such as surveillance, autonomous driving, augmented reality, and human-computer interaction. Researchers in this area aim to improve the accuracy, speed, and robustness of object tracking systems to enable more efficient and reliable tracking in real-world scenarios.