Optical Flow

C++ (experimental) implementation of methods for estimating optical flow

Optical flow is the pattern of apparent motion of objects in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene. (Wikipedia).

Methods:

• Horn & Schunck
• Lucas & Kanade
• Lucas & Kanade Pyramidal

Usage Example

#include <of/LucasKanadeC2F.h>

double* buffa, buffb; // <- Read images values

// Encapsulate buffers
of::Image* imga = new of::Image(buffa, nlines, ncols);
of::Image* imgb = new of::Image(buffb, nlines, ncols);

// Create specific method implementation
of::OpticalFlow* of = new of::LucasKanadeC2F(imga, imgb);

// Run!
of->compute();

// Can export (u,v) to Optical Flow Middlebury (.flo) file format
of->save("uv.flo");

// Get (u, v) coordinates
of::Image* u = of->getU();
of::Image* v = of->getV();

// Kill 'Em All
delete of;
delete imga;
delete imgb;

Result Examples

References

• B.K.P. Horn and B.G. Schunck, "Determining optical flow." Artificial Intelligence, vol 17, pp 185–203, 1981
• B. D. Lucas and T. Kanade, "An iterative image registration technique with an application to stereo vision". Proceedings of Imaging Understanding Workshop, pages 121--130, 1981
• Bouguet, J.-Y., "Pyramidal Implementation of the Lucas Kanade Feature Tracker Description of the algorithm". Intel Corporation Microprocessor Research Labs, 2000
• Middlebury - Optical Flow Datasets