Tag Archives | object detection

Object tracking with dlib

This tutorial will teach you how to perform object tracking using dlib and Python. After reading today’s blog post you will be able to track objects in real-time video with dlib. A couple months ago we discussed centroid tracking, a simple, yet effective method to (1) assign unique IDs to each object in an image […]

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OpenCV People Counter

In this tutorial you will learn how to build a “people counter” with OpenCV and Python. Using OpenCV, we’ll count the number of people who are heading “in” or “out” of a department store in real-time. Building a person counter with OpenCV has been one of the most-requested topics here on the PyImageSearch and I’ve […]

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OpenCV Object Tracking

In last week’s blog post we got our feet wet by implementing a simple object tracking algorithm called “centroid tracking”. Today, we are going to take the next step and look at eight separate object tracking algorithms built right into OpenCV! You see, while our centroid tracker worked well, it required us to run an […]

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OpenCV Saliency Detection

Today’s tutorial is on saliency detection, the process of applying image processing and computer vision algorithms to automatically locate the most “salient” regions of an image. In essence, saliency is what “stands out” in a photo or scene, enabling your eye-brain connection to quickly (and essentially unconsciously) focus on the most important regions. For example — […]

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Real-time object detection on the Raspberry Pi with the Movidius NCS

Today’s post is inspired by Danielle, a PyImageSearch reader who emailed me last week and asked: Hi Adrian, I’m enjoying your blog and I especially liked last week’s post about image classification with the Intel Movidius NCS. I’m still considering purchasing an Intel Movidius NCS for a personal project. My project involves object detection with […]

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