Matches in SemOpenAlex for { <https://semopenalex.org/work/W1953191904> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W1953191904 endingPage "043011" @default.
- W1953191904 startingPage "043011" @default.
- W1953191904 abstract "Background subtraction is an important task for various computer vision applications. The task becomes more critical when the background scene contains more variations, such as swaying trees and abruptly changing lighting conditions. Recently, robust principal component analysis (RPCA) has been shown to be a very efficient framework for moving-object detection. However, due to its batch optimization process, high-dimensional data need to be processed. As a result, computational complexity, lack of features, weak performance, real-time processing, and memory issues arise in traditional RPCA-based approaches. To handle these, a background subtraction algorithm robust against global illumination changes via online robust PCA (OR-PCA) using multiple features together with continuous constraints, such as Markov random field (MRF), is presented. OR-PCA with automatic parameter estimation using multiple features improves the background subtraction accuracy and computation time, making it attractive for real-time systems. Moreover, the application of MRF to the foreground mask exploits structural information to improve the segmentation results. In addition, global illumination changes in scenes are tackled by using sum of the difference of similarity measure among features, followed by a parameter update process using a low-rank, multiple features model. Evaluation using challenging datasets demonstrated that the proposed scheme is a top performer for a wide range of complex background scenes." @default.
- W1953191904 created "2016-06-24" @default.
- W1953191904 creator A5046143134 @default.
- W1953191904 creator A5069647116 @default.
- W1953191904 creator A5071515463 @default.
- W1953191904 creator A5077603212 @default.
- W1953191904 date "2015-08-11" @default.
- W1953191904 modified "2023-10-14" @default.
- W1953191904 title "Robust background subtraction to global illumination changes via multiple features-based online robust principal components analysis with Markov random field" @default.
- W1953191904 doi "https://doi.org/10.1117/1.jei.24.4.043011" @default.
- W1953191904 hasPublicationYear "2015" @default.
- W1953191904 type Work @default.
- W1953191904 sameAs 1953191904 @default.
- W1953191904 citedByCount "20" @default.
- W1953191904 countsByYear W19531919042016 @default.
- W1953191904 countsByYear W19531919042017 @default.
- W1953191904 countsByYear W19531919042018 @default.
- W1953191904 countsByYear W19531919042019 @default.
- W1953191904 countsByYear W19531919042021 @default.
- W1953191904 countsByYear W19531919042023 @default.
- W1953191904 crossrefType "journal-article" @default.
- W1953191904 hasAuthorship W1953191904A5046143134 @default.
- W1953191904 hasAuthorship W1953191904A5069647116 @default.
- W1953191904 hasAuthorship W1953191904A5071515463 @default.
- W1953191904 hasAuthorship W1953191904A5077603212 @default.
- W1953191904 hasConcept C124504099 @default.
- W1953191904 hasConcept C153180895 @default.
- W1953191904 hasConcept C154945302 @default.
- W1953191904 hasConcept C160633673 @default.
- W1953191904 hasConcept C27438332 @default.
- W1953191904 hasConcept C2777749129 @default.
- W1953191904 hasConcept C2778045648 @default.
- W1953191904 hasConcept C2779769447 @default.
- W1953191904 hasConcept C31972630 @default.
- W1953191904 hasConcept C32653426 @default.
- W1953191904 hasConcept C41008148 @default.
- W1953191904 hasConcept C89600930 @default.
- W1953191904 hasConceptScore W1953191904C124504099 @default.
- W1953191904 hasConceptScore W1953191904C153180895 @default.
- W1953191904 hasConceptScore W1953191904C154945302 @default.
- W1953191904 hasConceptScore W1953191904C160633673 @default.
- W1953191904 hasConceptScore W1953191904C27438332 @default.
- W1953191904 hasConceptScore W1953191904C2777749129 @default.
- W1953191904 hasConceptScore W1953191904C2778045648 @default.
- W1953191904 hasConceptScore W1953191904C2779769447 @default.
- W1953191904 hasConceptScore W1953191904C31972630 @default.
- W1953191904 hasConceptScore W1953191904C32653426 @default.
- W1953191904 hasConceptScore W1953191904C41008148 @default.
- W1953191904 hasConceptScore W1953191904C89600930 @default.
- W1953191904 hasIssue "4" @default.
- W1953191904 hasLocation W19531919041 @default.
- W1953191904 hasOpenAccess W1953191904 @default.
- W1953191904 hasPrimaryLocation W19531919041 @default.
- W1953191904 hasRelatedWork W1607978875 @default.
- W1953191904 hasRelatedWork W2067373798 @default.
- W1953191904 hasRelatedWork W2110230079 @default.
- W1953191904 hasRelatedWork W2145985110 @default.
- W1953191904 hasRelatedWork W2161193411 @default.
- W1953191904 hasRelatedWork W2536634271 @default.
- W1953191904 hasRelatedWork W2554449009 @default.
- W1953191904 hasRelatedWork W2906777027 @default.
- W1953191904 hasRelatedWork W40964945 @default.
- W1953191904 hasRelatedWork W2887824662 @default.
- W1953191904 hasVolume "24" @default.
- W1953191904 isParatext "false" @default.
- W1953191904 isRetracted "false" @default.
- W1953191904 magId "1953191904" @default.
- W1953191904 workType "article" @default.