CODEWITHSUNDEEP
opencvimage-processingcomputer-visionemgucvopticalflow
Sabry
Sabry

Reputation: 135

Real Time Optical Flow

I'm using optical flow as a real time obstacle detection and avoidance system for the visually impaired. I'm developing the application in c# and using Emgu Cv for image processing. I use the Lucas and Kanade method and I'm pretty satisfied with the speed of the algorithm. I am using monocular vision thus making it hard for me to compute the depth accurately to each of the features being tracked and to alert the user accordingly. I plan on using an ultrasonic sensor to help with the obstacle detection due to the fact that depth computation is hard with monocular camera. Any suggestions on how I could get an accurate estimation of depth using the camera alone?

Upvotes: 3

Views: 3221

Answers (4)

YXD
YXD

Reputation: 32511

Hate to give such a generic answer, but you'd be best off starting with a standard text on structure-from-motion to get an overview of techniques. A good one is Richard Szeliski's recent book available online (Chapter 7), and its references. After that, for your application you may want to look at recent work in SLAM - Oxford's Active Vision group have published some great work and Andrew Davison's group too.

Upvotes: 2

morynicz
morynicz

Reputation: 2332

You might want to check out this paper: A Robust Visual Odometry and Precipice Detection System Using Consumer-grade Monocular Vision. They usea nice trick for detecting as well obstacles as holes in the field of view.

Upvotes: 2

berak
berak

Reputation: 39796

more a comment on RobAu's answer below, 'structure from motion' might give better search results, than '3d from video'

Upvotes: 1

Rob Audenaerde
Rob Audenaerde

Reputation: 20029

Depth from one care will only work if you have movement of the camera. You could look into some 3d from video approaches. It is a very hard problem, especially when the objects in the field of view of the camera are moving as well.

Upvotes: 0

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