Paper
13 March 1996 Multiresolution motion estimation
Klaus Illgner, Werner Praefcke, Frank Mueller
Author Affiliations +
Proceedings Volume 2666, Image and Video Processing IV; (1996) https://doi.org/10.1117/12.234738
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
Motion estimation is an important aspect for image sequence analysis, which is part of image sequence coding. Due to its simplicity and robustness the currently preferred motion estimation technique is block matching. The approach described in this paper eliminates the systematic limitations of conventional block matching. The algorithm is based on a resolution pyramid which is treated as a tree with one to one relationships (links) of the pixels between the levels. Within the pyramid motion estimation is done top-down by matching each pixel, which results in a multiresolution motion vector field. The links are iteratively refined according to a homogeneity criterion incorporating the intensity as well as the motion vectors. Hence a segmentation of the image is obtained and motion estimation is performed on regions instead of blocks. Motion estimation and segmentation are performed iteratively in alternating steps. The final segmentation obtained is characterized by homogeneous motion as well as homogeneous intensity.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Klaus Illgner, Werner Praefcke, and Frank Mueller "Multiresolution motion estimation", Proc. SPIE 2666, Image and Video Processing IV, (13 March 1996); https://doi.org/10.1117/12.234738
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Cited by 3 scholarly publications.
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KEYWORDS
Motion estimation

Image segmentation

Image compression

Image resolution

Image analysis

Image processing algorithms and systems

Motion analysis

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