Algorithm for tracking an object based on the mean shift algorithm
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Updated
Dec 16, 2014 - MATLAB
Algorithm for tracking an object based on the mean shift algorithm
A Repository for RBE-CS 549 Computer Vision Project
Contains scripts and tutorials that create optical and packet typologies using Mininet and LINC-OE.
Tracking moving human using lucaskanad optical flow algorithm
Robust motion detection/segmentation using OpenCV
Methods for estimating optical flow
Fork and OpenCV wrapper of the optical flow I/O and visualization code provided as part of the Sintel dataset [1].
CUDA implementation of the paper "Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow" in CVPR 2014.
Determining optical flow by using Horn-Schunck method and Lucas-Kanade method
Interactive installation at the Carnegie Museum of Art for the Hillman Photography Initiative. Allows you to spin through a 360 dynamic time lapse.
Tools to extract dense optical flow from videos, based on OpenCV
This python module will recognize emotions in video sequences using optical flow and machine learning techniques.
FlowNetS and FlowNetC port to Theano
Vision-based Robot 3D Pose and Velocities Estimations
Robust optical flow estimation in dynamic weathers (e.g. rain, snow, sleet, ...)
TensorFlow implementation for "Guided Optical Flow Learning"
BriefMatch real-time GPU optical flow
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