Dynamic texture as foreground and background
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F11%3A00345450" target="_blank" >RIV/67985556:_____/11:00345450 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/11:00038714
Result on the web
<a href="http://dx.doi.org/10.1007/s00138-010-0251-6" target="_blank" >http://dx.doi.org/10.1007/s00138-010-0251-6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00138-010-0251-6" target="_blank" >10.1007/s00138-010-0251-6</a>
Alternative languages
Result language
angličtina
Original language name
Dynamic texture as foreground and background
Original language description
Depending on application, temporal texture can be viewed as either foreground or background. We address two related problems: finding regions of dynamic texture in a video and detecting moving targets in a dynamic texture. We propose efficient and fast methods for both cases. The methods can be potentially used in real-time applications of machine vision. First, we show how the optical flow residual can be used to find dynamic texture in video. The algorithm is a practical, real-time simplification of the sophisticated and powerful but time-consuming method (Fazekas et al. in Int J Comput Vis 82:48?63, 2009). We give numerous examples of detecting and segmenting fire, smoke, water and other dynamic textures in real-world videos acquired by static and moving cameras. Then we apply the singular value decomposition (SVD) to a temporal data window in a video to detect targets in dynamic texture via the residual of the largest singular value.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Machine Vision and Applications
ISSN
0932-8092
e-ISSN
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Volume of the periodical
22
Issue of the periodical within the volume
5
Country of publishing house
DE - GERMANY
Number of pages
10
Pages from-to
741-750
UT code for WoS article
000293961900002
EID of the result in the Scopus database
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