The Lucas-Kanade method is a widely used differential method for optical flow estimation developed by Bruce D. Lucas and Takeo Kanade.

The Lucas-Kanade optical ow algorithm is a simple technique which can provide an estimate of the movement of interesting features in successive images of a scene.

Since the Lucas-Kanade algorithm was proposed in 1981 image alignment has become one of the most widely used techniques in computer vision. Applications range from optical flow and …

The project resulted in a modified Lucas Kanade algorithm along with a post processing validation function. The developed algorithm was based on the OpenCV implementation of the Pyramidal …

Contents Motion perception Motion representation Parametric motion: Lucas-Kanade Dense optical flow: Horn-Schunck Robust estimation Applications (1)

Solving the Ambiguity... B. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In Proceedings of the International Joint Conference on Artificial …

Comments Horn-Schunck and Lucas-Kanade optical method works only for small motion. If object moves faster, the brightness changes rapidly, 2x2 or 3x3 masks fail to estimate spatiotemporal …