A Classic Optical Flow Computation Toolbox with MATLAB Implementation

This toolbox is implemented in MATLAB and serves as a classical solution for optical flow computation. Optical flow refers to the motion vectors of pixels between consecutive frames in image sequences over time. By employing optical flow techniques, users can effectively track and analyze moving objects, which has significant applications across various domains such as computer vision, robotics, and autonomous driving systems. The toolbox implements fundamental optical flow algorithms including Lucas-Kanade and Horn-Schunck methods, providing functions for motion vector calculation, flow visualization, and performance evaluation. It not only helps users deeply understand the principles of optical flow algorithms through practical code examples but also offers robust support for related research and development projects. Key features include customizable parameter settings, batch processing capabilities, and compatibility with standard video formats.