Howtosignalprocessing
- Is optical flow accurate?
- What is dense optical flow?
- How does Lucas-Kanade optical flow work?
- What is optical flow estimation?
Is optical flow accurate?
Despite concerted progress, accurate optical flow estimation remains an open challenge due to large displacements, textureless regions, motion blur, and non-Lambertian effects. Tellingly, the accuracy of lead- ing optical flow algorithms is behind the accuracy achieved for the related problem of stereo matching.
What is dense optical flow?
Overview. The Dense Optical Flow algorithm estimates the motion vectors in every 4x4 pixel block between the previous and current frames. Its uses include motion detection and object tracking.
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.
What is optical flow estimation?
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.
