Record Details

ON-LINE VIDEO SEGMENTATION USING METHODS OF FAULT DETECTION IN MULTIDIMENSIONAL TIME SEQUENCES

International Journal of Electronic Commerce Studies

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Field Value
 
Title ON-LINE VIDEO SEGMENTATION USING METHODS OF FAULT DETECTION IN MULTIDIMENSIONAL TIME SEQUENCES
 
Creator Bodyanskiy, Yevgeniy; Yevgeniy Bodyanskiy Kharkiv National University of Radio Electronics
Kinoshenko, Dmitriy; Kharkiv National University of Radio Electronics
Mashtalir, Sergii; Kharkiv National University of Radio Electronics
Mikhnova, Olena; Kharkiv National University of Radio Electronics
 
Subject Video Segmentation; Multidimensional Time Sequence; Vector Autoregression Model
 
Description Recently, video segmentation with time series has been recognized as an important research topic. Despite great progress in this field, existing approaches have some drawbacks. We first give an overview of existing techniques and approaches, and then we analyze the applicability of the recursive least square method, multidimensional modification of exponentially weighted stochastic approximation algorithm, methods of Kaczmarz, Shown, Brown, Chow, Trigg-Leach, Roberts-Reed, finite and infinite memory algorithms for detection of faults in multidimensional time sequences. At the end we have come to the conclusion that the Trigg-Leach method is preferable for fault detection in video time sequences. Model efficiency has been checked on video containing endoscopic operation.
 
Publisher Academy of Taiwan Information Systems Research
 
Date 2012-08-24
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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Format application/pdf
 
Identifier http://academic-pub.org/ojs/index.php/ijecs/article/view/1010
 
Source International Journal of Electronic Commerce Studies; Vol 3, No 1 (2012); 1-20
2073-9729
 
Language eng
 
Relation http://academic-pub.org/ojs/index.php/ijecs/article/view/1010/122
 
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