Optical Flow
Optical flow is a technique used in computer vision to analyze motion between frames in a video. It helps to detect how objects move over time by comparing the position of pixels in consecutive images. Imagine watching a car driving down a street; optical flow tracks how the car shifts position and speed. This information can be used in various applications, such as self-driving cars for navigation, motion detection in surveillance systems, and video editing to create smooth transitions. Essentially, optical flow allows computers to understand and interpret movement in visual scenes.
Additional Insights
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Optical flow is the pattern of movement that objects, surfaces, and edges appear to have in a series of images taken over time, typically from a moving camera or object. It helps us understand how things move in our environment by analyzing changes in the position of features between frames. In practical applications, such as in robotics or video analysis, optical flow is used to track movements, estimate speed, and even recognize actions by interpreting the motion of pixels in a video. Essentially, it provides insight into the dynamics of a scene by capturing motion visually.