Search results “Determining optical flow horn schunck”
Lecture 06 - Optical Flow
UCF Computer Vision Video Lectures 2012 Instructor: Dr. Mubarak Shah (http://vision.eecs.ucf.edu/faculty/shah.html) Subject: Optical Flow Presentation: http://crcv.ucf.edu/courses/CAP5415/Fall2012/Lecture-6b-OpticalFlow.pdf
Views: 95452 UCF CRCV
Subtitle Detection - Optical Flow Horn & Schunck - 1
Original: http://www.youtube.com/watch?v=YRHUMEI4SW0 Using OpenCV C++ library Implementation by: Tomas (UU)
Views: 349 Remco Gubbels
Lucas-Kanade method for optical flow in Matlab
This example uses Lucas-Kanade method on two images and calculate the optical flow vector for moving objects in the image. #Matlab #ImageProcessing #MatlabDublin
Views: 2708 Anselm Griffin
Virtual Soccer (Real-Time Object Movement Using Optical Flow)
Moving virtual objects around by using optical flow techniques (Horn-Schunk algorithm) to determine velocity vectors. The right graph shows the velocity vector field of one of the soccer balls when the background is moving behind it.
Views: 241 Elias Bagley
Optical flow
Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and the scene. The concept of optical flow was introduced by the American psychologist James J. Gibson in the 1940s to describe the visual stimulus provided to animals moving through the world. Gibson stressed the importance of optic flow for affordance perception, the ability to discern possibilities for action within the environment. Followers of Gibson and his ecological approach to psychology have further demonstrated the role of the optical flow stimulus for the perception of movement by the observer in the world; perception of the shape, distance and movement of objects in the world; and the control of locomotion. The term optical flow is also used by roboticists, encompassing related techniques from image processing and control of navigation including motion detection, object segmentation, time-to-contact information, focus of expansion calculations, luminance, motion compensated encoding, and stereo disparity measurement. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 2872 Audiopedia
Colour identifying and picking robot with OpenCV
This is a colour identifying and picking robot based on HSV colour thresholding using intel's Open CV library. The robot can trace colour that we want to pick with the help of a cam fitted on the robot. The streaming from the cam is processed with C++ code written in OpenCV library and the robot is controlled with parallel port. The complete mechanical assembly is made of low cost materials.
Views: 351 Prem

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