We present an analysis of existing motion detectors for dete rmining desirable characteristics of a motion detector. A spat&temporal surface type inseparable model is then proposed for motion detection. Based on this model, we analyzed mathematically how the geometry of the intensity hypersurface gives information about motion in image. The local motion information, obtained from the parameters of the Monge patch approximating the intensity hypersurface in the spat&temporal space, may be used for segmentation of dynamic scenes. Motion detection results for real sequences show the robustness of this detector. Q 1989 Academic PWS, II-K.
The development of techniques for interpreting the structure of three-dimensional images, f(x,y,z), is useful in many applications. A key initial stage in the signal to symbol conversion process, essential for the interpretation of the data, is three-dimensional image segmentation involving the processes of partitioning and identification. Most segmentation and grouping research in computer vision has addressed partitioning of 2D images, f(x,y). In this paper, we present a parallel 3D image segmentation algorithm which, through the use of a-partitioning and volumejiltering, segments 3D images such that the greylevel variation within each volume can be described by a regression model. Experimental results demonstrate the effectiveness of this algorithm on several real-world 3D images. o tw Academic P~CSS. h.
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