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<p>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.</p>
temporal variations; pattern recognition; optical flow; image sequences; temporal Gaussian smoothing function; zero crossings; moving edges; illumination effects; spatial variations; image intensity; lighting; optical information processing; pattern recognition; picture processing

T. Chou and J. Duncan, "On the Detection of Motion and the Computation of Optical Flow," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 14, no. , pp. 346-352, 1992.
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