On the detection of motion and the computation of optical flow

Author

Duncan, James H. ; Chou, Tsai-Chia

Author_Institution

Maryland Univ., College Park, MD, USA

Volume

14

Issue

3

fYear

1992

fDate

3/1/1992 12:00:00 AM

Firstpage

346

Lastpage

352

Abstract

A method for the detection of motion in image sequences is presented. In this method, the intensity history at each pixel is convolved with the second derivative in time of a temporal Gaussian smoothing function. The zero crossings in a single frame of the resulting function indicate the positions of moving edges. Intensity changes in time due to illumination effects do not produce zero crossings; thus, they are not interpreted as motion by the present method. It is also shown that the spatial and temporal derivatives of this function can be used to compute the component of the optical flow that is normal to the zero-crossing contours. This computation is also insensitive to nonconvective temporal and spatial variations in the image intensity that are caused by illumination effects

Keywords

lighting; optical information processing; pattern recognition; picture processing; illumination effects; image intensity; image sequences; moving edges; optical flow; pattern recognition; spatial variations; temporal Gaussian smoothing function; temporal variations; zero crossings; Convolution; History; Image edge detection; Image motion analysis; Image sequences; Lighting; Motion detection; Optical computing; Optical devices; Smoothing methods;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.120329

Filename

120329