Tag Archives | histogram of oriented gradients

Detecting Parkinson’s Disease with OpenCV, Computer Vision, and the Spiral/Wave Test

In this tutorial, you will learn how to use OpenCV and machine learning to automatically detect Parkinson’s disease in hand-drawn images of spirals and waves. Today’s tutorial is inspired from PyImageSearch reader, Joao Paulo Folador, a PhD student from Brazil. Joao is interested in utilizing computer vision and machine learning to automatically detect and predict […]

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HOG detectMultiScale parameters explained

Last week we discussed how to use OpenCV and Python to perform pedestrian detection. To accomplish this, we leveraged the built-in HOG + Linear SVM detector that OpenCV ships with, allowing us to detect people in images. However, one aspect of the HOG person detector we did not discuss in detail is the detectMultiScale  function; specifically, […]

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Pedestrian Detection OpenCV

I’ve met a lot of amazing, uplifting people over the years. My PhD advisor who helped get me through graduate school. My father who was always there for me as a kid — and still is now. And my girlfriend who has always been positive, helpful, and supportive (even when I probably didn’t deserve it). I’ve also […]

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Histogram of Oriented Gradients and Object Detection

If you’ve been paying attention to my Twitter account lately, you’ve probably noticed one or two teasers of what I’ve been working on — a Python framework/package to rapidly construct object detectors using Histogram of Oriented Gradients and Linear Support Vector Machines. Honestly, I really can’t stand using the Haar cascade classifiers provided by OpenCV […]

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