Howtosignalprocessing
- How does the Lucas Kanade algorithm work?
- What is the drawback of Lucas Kanade algorithm?
- What is dense optical flow?
- How does optical flow work?
How does the Lucas Kanade algorithm work?
It works by trying to guess in which direction an object has moved so that local changes in intensity can be explained. Assume that we watch a scene through a square hole. The intensity a visible through the hole is variable. In the next frame the intensity of the pixel has increased to b.
What is the drawback of Lucas Kanade algorithm?
It is also less sensitive to image noise than point-wise methods. On the other hand, since it is a purely local method, it cannot provide flow information in the interior of uniform regions of the image.
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 optical flow work?
Optical flow is a technique used to describe image motion. It is usually applied to a series of images that have a small time step between them, for example, video frames. Optical flow calculates a velocity for points within the images, and provides an estimation of where points could be in the next image sequence.
