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Autonomous Motion Segmentation of Multiple Objects in Low Resolution Video Using Variational Level Sets
Author(s) -
Mark Christopher Moelich
Publication year - 2003
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/15013642
Subject(s) - internship , computer science , segmentation , artificial intelligence , computer vision , motion (physics) , market segmentation , resolution (logic) , computer graphics (images) , medicine , marketing , business , medical education
This report documents research that was done during a ten week internship in the Sapphire research group at the Lawrence Livermore National Laboratory during the Summer of 2003. The goal of the study was to develop an algorithm that is capable of isolating (segmenting) moving objects in low resolution video sequences. This capability is currently being developed by the Sapphire research group as the first stage in a longer term video data mining project. This report gives a chronological account of what ideas were tried in developing the algorithm and what was learned from each attempt. The final version of the algorithm, which is described in detail, gives good results and is fast.

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