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If there is a substantial change, we can detect it - this change normally corresponds to motion on our video. Therefore, if we can model the background, we monitor it for substantial changes. The background of our video stream is largely static and unchanging over consecutive frames of a video. Well, in motion detection, we tend to make the following assumption: So why is this so important? And why do we care what pixels belong to the foreground and what pixels are part of the background? We can find this implementation in the cv2.createBackgroundSubtractorGMG function (we’ll be waiting for OpenCV 3 to fully play with this function though).Īll of these methods are concerned with segmenting the background from the foreground (and they even provide mechanisms for us to discern between actual motion and just shadowing and small lighting changes)!
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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.
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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.
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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.