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background model

 

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Term: background model

Description:

The term "background model" refers to a computational framework or statistical representation used in image processing and computer vision. It denotes the underlying model that characterizes the static and dynamic parts of a given scene in an image or video. The background model is aimed at distinguishing the foreground objects or events from the background, helping in various applications like object tracking, motion detection, and surveillance systems.

Sample Sentences:

  • The background model of the video stream helped in detecting the moving objects accurately.
  • In computer vision, estimating a reliable background model is crucial for effective foreground object extraction.
  • The algorithm used a combination of statistical techniques to update the background model in real-time.
  • The background model enabled the system to differentiate between normal events and abnormal behavior in the security footage.

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