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Complex wavelet based moving object segmentation using approximate median filter based method for video surveillance

Author:
Kushwaha, A.K.S. , Srivastava, R.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/UPEC.2014.6934812
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/983574
Keyword(s): genetic algorithms,load flow,load forecasting,power distribution planning,power engineering computing,artificial intelligence field,distribution network expansion planning,genetic algorithm,load forecasting,power flow computing,power flow optimization,power system domain,Biological cells,Genetic algorithms,Load flow,Optimization,Planning,Software tools,distribution network,expansion planning,genetic algorithm,mathematical model
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    Complex wavelet based moving object segmentation using approximate median filter based method for video surveillance

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contributor authorKushwaha, A.K.S. , Srivastava, R.
date accessioned2020-03-12T19:36:37Z
date available2020-03-12T19:36:37Z
date issued2014
identifier other6779455.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/983574?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleComplex wavelet based moving object segmentation using approximate median filter based method for video surveillance
typeConference Paper
contenttypeMetadata Only
identifier padid8098868
subject keywordsgenetic algorithms
subject keywordsload flow
subject keywordsload forecasting
subject keywordspower distribution planning
subject keywordspower engineering computing
subject keywordsartificial intelligence field
subject keywordsdistribution network expansion planning
subject keywordsgenetic algorithm
subject keywordsload forecasting
subject keywordspower flow computing
subject keywordspower flow optimization
subject keywordspower system domain
subject keywordsBiological cells
subject keywordsGenetic algorithms
subject keywordsLoad flow
subject keywordsOptimization
subject keywordsPlanning
subject keywordsSoftware tools
subject keywordsdistribution network
subject keywordsexpansion planning
subject keywordsgenetic algorithm
subject keywordsmathematical model
identifier doi10.1109/UPEC.2014.6934812
journal titledvance Computing Conference (IACC), 2014 IEEE International
filesize560831
citations0
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