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Performance evaluation of various moving object segmentation techniques for intelligent video surveillance system

contributor authorKushwaha, A.K.S. , Srivastava, R.
date accessioned2020-03-12T19:35:22Z
date available2020-03-12T19:35:22Z
date issued2014
identifier other6776947.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/982817?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titlePerformance evaluation of various moving object segmentation techniques for intelligent video surveillance system
typeConference Paper
contenttypeMetadata Only
identifier padid8097854
subject keywordsPareto optimisation
subject keywordscombinatorial mathematics
subject keywordsgenetic algorithms
subject keywordsgreedy algorithms
subject keywordsknapsack problems
subject keywordssearch problems
subject keywordsGRASP
subject keywordsMOEA/D
subject keywordscombinatorial multiobjective optimisation problem
subject keywordsdecomposition hybridisation
subject keywordsgreedy genetic crossover
subject keywordsgreedy randomised adaptive search procedure
subject keywordsheuristic local search procedures
subject keywordslocal Pareto optimal solutions
subject keywordsmultiobjective 0-1 knapsack problem
subject keywordsmultiobjective evolutionary algorithms
subject keywordsmultistart single-objective metaheuristic
subject keywordsneighbourhood informatio
identifier doi10.1109/UKCI.2014.6930173
journal titleignal Processing and Integrated Networks (SPIN), 2014 International Conference on
filesize400963
citations0


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