In this tutorial, we dive into the fundamentals of Optical Flow, look at some of its applications and implement its two main variants (sparse and dense). We also briefly discuss more recent approaches using deep learning and promising future directions.
Human Pose Estimation is one of the long standing problems of computer vision which has made remarkable progress in the last few years. This post explains the basics of Human Pose Estimation (2D) and reviews the literature on this topic.
This post demonstrates how you can do object detection using a Raspberry Pi. Like cars on a road, oranges in a fridge, signatures in a document and teslas in space.
