The two primary methods are forms of Gaussian Mixture Model-based foreground and background segmentation: We use it to count the number of people walking in and out of a store.īefore we get started coding in this post, let me say that there are many, many ways to perform motion detection, tracking, and analysis in OpenCV. We use it to count the number of cars passing through a toll booth. In the second post in this series I’ll show you how to update the code to work with your Raspberry Pi and camera board - and how to extend your home surveillance system to capture any detected motion and upload it to your personal Dropbox.Īnd maybe at the end of all this we can catch James red handed… A little bit about background subtractionīackground subtraction is critical in many computer vision applications. This example will work with both pre-recorded videos and live streams from your webcam however, we’ll be developing this system on our laptops/desktops. The remainder of this article will detail how to build a basic motion detection and tracking system for home surveillance using computer vision techniques. This is the first post in a two part series on building a motion detection and tracking system for home surveillance. Looking for the source code to this post? Jump Right To The Downloads Section A 2-part series on motion detection I mounted a Raspberry Pi to the top of my kitchen cabinets to automatically detect if he tried to pull that beer stealing shit again: He is my only (ex-)friend who drinks IPAs. In reality, I didn’t really see him drink the beer as my face was buried in my laptop, fingers floating above the keyboard, feverishly pounding out tutorials and articles. And after calling it quits for the night, all I wanted was to do relax and watch my all-time favorite movie, Jurassic Park, while sipping an ice cold Finestkind IPA from Smuttynose, a brewery I have become quite fond of as of late.īut that son of a bitch James had come over last night and drank my last beer. My brain was fried, practically leaking out my ears like half cooked scrambled eggs. You see, I had just spent over 12 hours writing content for the upcoming PyImageSearch Gurus course. But I muttered them to myself in an exasperated sigh of disgust as I closed the door to my refrigerator. These are words a man should never, ever have to say.
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