Motion Detection using Approximate Entropy

نویسنده

  • Phillip M. Ngan
چکیده

The detection of motion from image sequences is usually performed using a time differential method or calculating the difference from a background reference image. These algorithms often perform poorly in the presence of temporal clutter. This paper describes a technique that measures the irregularity of an intensity sequence to detect motion. We demonstrate that static background, interesting motion events, and temporal clutter, can be distinguished from each other using a technique called Approximate Entropy.

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تاریخ انتشار 1997