Explore MATLAB source code curated for "光流算法" with clean implementations, documentation, and examples.
Optical flow algorithm code implementation featuring detection capabilities for both single moving objects and multiple moving targets, with enhanced computational methods for motion analysis
A MATLAB source program implementing optical flow algorithm, widely applicable in image processing, foreground detection, and object tracking - recommended for computer vision applications
This program implements an object detection algorithm using the classical optical flow method, which generates a motion optical flow map as the final output.
This code implements the optical flow algorithm proposed by Gautama, T. and Van Hulle, M.M. (2002) in "A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering," IEEE Trans. Neural Networks, 13(5), 1127-1136. The algorithm employs spatial filtering, phase gradient estimation, and iterative outlier cancellation (IOC) to compute optical flow fields with robust performance.