Occlusion refers to the blocking or obstruction of a view or passage, typically in the context of computer vision or graphics. In the field of computer vision, occlusion research focuses on developing algorithms and techniques for detecting, recognizing, and handling occluded objects in images or videos. This is an important area of study as occlusions frequently occur in real-world scenarios, such as crowded scenes or overlapping objects, and can affect the accuracy and reliability of computer vision systems. Researchers in this field work on designing robust and efficient algorithms to handle occluded objects and improve the performance of object detection, recognition, and tracking systems.