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RAFT: Optical Flow estimation using Deep Learning

January 21, 2021 By Leave a Comment

raft optical flow feature image

In this post, we will discuss about two Deep Learning based approaches for motion estimation using Optical Flow. FlowNet is the first CNN approach for calculating Optical Flow and RAFT which is the ...

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Filed Under: Deep Learning, Paper Overview, PyTorch, Video Analysis

Optical Flow in OpenCV (C++/Python)

January 4, 2021 By Leave a Comment

In this post, we will learn about the various algorithms for calculating Optical Flow in a video or sequence of frames. We will discuss the relevant theory and implementation in OpenCV of sparse and ...

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Filed Under: Classical Computer Vision, Theory, Video Analysis

Simple Background Estimation in Videos using OpenCV (C++/Python)

August 27, 2019 By Leave a Comment

Video Background Estimation

In many computer vision applications, the processing power at your disposal is low. In such cases, we have to use simple, yet effective techniques. In this post, we will cover one such technique ...

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Filed Under: Tutorial, Video Analysis

About

I am an entrepreneur with a love for Computer Vision and Machine Learning with a dozen years of experience (and a Ph.D.) in the field.

In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products. Read More…

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Recent Posts

  • RAFT: Optical Flow estimation using Deep Learning
  • Making A Low-Cost Stereo Camera Using OpenCV
  • Optical Flow in OpenCV (C++/Python)
  • Introduction to Epipolar Geometry and Stereo Vision
  • Depth Estimation using Stereo matching

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