Description: Jump detection refers to identifying sudden changes in the movement or position of an object in video sequences. This process is fundamental in computer vision, as it allows systems to interpret and react to dynamic events in their environment. Jump detection relies on algorithms that analyze the flow of images, looking for significant variations in the position of objects between consecutive frames. These changes can be caused by abrupt movements, such as an object jumping or moving quickly, and are crucial for applications that require immediate response, such as robotics and surveillance. Additionally, jump detection can help improve video compression quality by identifying and eliminating redundancies in image sequences. In summary, this technique is essential for understanding motion in visual environments and has a significant impact on the efficiency of processing and storing visual data.
