GStreamer Motion Detection: Difference between revisions

<seo title="GStreamer Motion Detection | Motion Detection | RidgeRun" titlemode="replace" keywords="Motion Detection,DispTEC,GStreamer DispTEC,GStreamer Motion Detection,NVIDIA,Jetson,Xilinx,NXP,Freescale,Linux Software development,Embedded Linux Application development,GStreamer Multimedia Framework" description="Learn about GStreamer Motion Detection, OpenCV motion detection and background subtraction camera-based motion detection algorithms by RidgeRun."></seo>

Nowadays, thanks to the advances in the technology fields, smart electronic devices, automation, computer science, artificial intelligence (AI), and embedded systems, we are capable to build more and more complex systems that incorporate many different features. One important feature that a lot of new systems and products of different industry areas try to incorporate is the capability to detect motion.   

RidgeRun has developed a Motion Detection GStreamer element that is able to detect motion from an incoming video image of a steady camera that does not move. The element implements the approximate median method for background subtraction algorithm with adapting background. This method matches other higher-complexity algorithms in performance, while being resilient to constant noise or sudden light changes happening in the scene.

Interval frame analysis: Only analyze every nth frame. Related element property: interval.