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Proceedings Paper

Motion Detection Using The Statistical Properties Of A Video Image
Author(s): Jack M. Younse
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Paper Abstract

A method for detecting motion based on the statistical properties of a video image will be discussed. This technique computes the mean and fourth moment about the mean, called kurtosis, for an image and compares the result with a previously stored value. The method involves observing a change in the shape of a video images' distribution and requires the storage of only a 16-bit digital word. A security intrusion system is described which incorporates a two level approach to motion detection: (1) motion detection based on the real-time pixel-by-pixel comparison between four selectable video lines and previously stored reference data; and (2) a higher order, near real-time verification of motion, using all of the images' pixels and based on the statistical properties of the image. The system is implemented in hardware using a TMS320 signal processor and charge coupled device (CCD) cameras.

Paper Details

Date Published: 10 December 1986
PDF: 11 pages
Proc. SPIE 0697, Applications of Digital Image Processing IX, (10 December 1986); doi: 10.1117/12.976224
Show Author Affiliations
Jack M. Younse, Texas Instruments, Incorporated (United States)


Published in SPIE Proceedings Vol. 0697:
Applications of Digital Image Processing IX
Andrew G. Tescher, Editor(s)

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