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Velocity Moments : ウィキペディア英語版 | Velocity Moments
In the field of computer vision, velocity moments are weighted averages of the intensities of pixels in a sequence of images, similar to image moments but in addition to describing an object's shape also describe its motion through the sequence of images. Velocity moments can be used to aid automated identification of a shape in an image when information about the motion is significant in its description. There are currently two established versions of velocity moments: Cartesian〔J. D. Shutler, M. S. Nixon, C. J. Harris, "Statistical Gait Description via Temporal Moments", Proc. SSIAI 2000 - Austin,Texas, :pp. 291-295, 2000〕 and Zernike.〔J. D. Shutler and M. S. Nixon, "Zernike Velocity Moments for Description and Recognition of Moving Shapes", Proc. BMVC 2001, Manchester, UK, 2:pp. 705-714, 2001〕 == Cartesian velocity moments ==
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