Howtosignalprocessing
- How does optical flow works?
- What is optical flow images?
- How do you Visualise optical flow?
- How does Lucas Kanade optical flow work?
How does optical flow works?
Optical flow is a vector field between two images, showing how the pixels of an object in the first image can be moved to form the same object in the second image . It is a kind of correspondence learning, because if the corresponding pixels of an object are known, the optical flow field can be calculated.
What is optical flow images?
Optical flow, or motion estimation, is a fundamental method of calculating the motion of image intensities, which may be ascribed to the motion of objects in the scene. Optical flow is an extremely fundamental concept that is utilized in one form or another in most video-processing algorithms.
How do you Visualise optical flow?
The color map helps us to visualize the optical flow by assigning a color to each vector based on its orientation. The intensity of the color determines the vector's norm. Following the brightness constancy assumption brightness intensity stays the same between two successive frames , , = + , + , + ...
How does Lucas Kanade optical flow work?
The Lucas-Kanade optical flow algorithm is a simple technique which can provide an estimate of the movement of interesting features in successive images of a scene. We would like to associate a movement vector (u, v) to every such ”interesting” pixel in the scene, obtained by comparing the two consecutive images.
