Search Results for "optical flow"

KLT-IV v1.0 has been designed to offer a user-friendly graphical user interface for the determination of river flow velocity and river discharge using videos acquired using a variety of fixed and moving platforms. KLT-IV employs optical flow and computer vision techniques for the tracking of features present on the river surface with pixel displacements being converted to real-world velocities using an optimised camera model approach. Movement of the platform can be accounted for when ground control points and/or stable features are present, or where the platform is equipped with GPS and IMU sensors. ...

Library for continuous convex optimization in image analysis, together with a command line tool and Matlab interface. Implements several recent algorithms for inverse problems and image segmentation with total variation regularizers and vectorial multilabel transition costs. Also included is a suite for variational light field analysis, which ties into the HCI light field benchmark set and givens reference implementations for a number of our recently published algorithms. *** NOTE: ...

JPIV is a platform independent, graphical stand-alone application for Particle Image Velocimetry (PIV) written in Java. PIV is an optical technique for measuring fluid flow velocities. JPIV moved to GitHub. Please visit us at: https://eguvep.github.io/jpiv/

CvMob is an Open Source tool to automatic visual analysis of human movement. The software calculates the optical flow to generate data about trajectory, velocity and acceleration using low-quality videos. For more informations, please visit our website: http://www.cvmob.ufba.br/

Particle image velocimetry (PIV) is an optical method of flow visualization. pivonvideo combine together several tools to automatize PIV analysis of whole video extracts, performing image extraction, transformation, analysis and result visualization.

Line-scanning particle image velocimetry (LS-PIV) is an analytical method to quantify blood velocity data generated by many confocal and two-photon excited fluorescence microscopes. We hope that this method will be of use to the research community! The associated files include Matlab code for LS-PIV and example data-sets of measured blood flow in the cerebral cortex of mouse. For additional information, please see the manuscript "Line-Scanning Particle Image Velocimetry: an Optical Approach for Quantifying a Wide Range of Blood Flow Speeds in Live Animals" by Tyson N. Kim, Patrick W. Goodwill, Yeni Chen, Steven M. Conolly, Chris B. Schaffer, Dorian Liepmann, Rong A. Wang.

An implementation of Bruhn et al.'s fast variational optical flow algorithm using the OpenCV image processing library. The code calculates dense flow fields with a user-specified level of precision.

This project contains both tools and data for Optical Flow evaluation purposes. It offers: many ground truth optical flow sequences; a tool for generating optical flow data from real sequences; implementations of some optical flow algorithms.