Matches in SemOpenAlex for { <https://semopenalex.org/work/W2901544186> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W2901544186 endingPage "297" @default.
- W2901544186 startingPage "291" @default.
- W2901544186 abstract "Abstract In this paper, we present an intelligent traffic congestion detection method using image classification approach on CCTV camera image feeds. We use a deep learning architecture, convolutional neural network (CNN) which is currently the state-of-the art for image processing method. We only do minimal image preprocessing steps on the small size image, where the conventional methods require a high quality, handcrafted features need to do manual calculation. The CNN model is trained to do binary classification about road traffic condition using 1000 CCTV monitoring image feeds with balance distribution. The result shows that a CNN with simple, basic architecture that trained on small grayscale images has an average classification accuracy of 89.50%." @default.
- W2901544186 created "2018-11-29" @default.
- W2901544186 creator A5000370774 @default.
- W2901544186 creator A5002867406 @default.
- W2901544186 creator A5038594833 @default.
- W2901544186 creator A5065429252 @default.
- W2901544186 date "2018-01-01" @default.
- W2901544186 modified "2023-10-17" @default.
- W2901544186 title "Traffic Congestion Detection: Learning from CCTV Monitoring Images using Convolutional Neural Network" @default.
- W2901544186 cites W1987789609 @default.
- W2901544186 cites W2014013321 @default.
- W2901544186 cites W2071007744 @default.
- W2901544186 cites W2121375117 @default.
- W2901544186 cites W2121816615 @default.
- W2901544186 cites W2152175008 @default.
- W2901544186 cites W2542435606 @default.
- W2901544186 cites W2576237665 @default.
- W2901544186 cites W2787178058 @default.
- W2901544186 doi "https://doi.org/10.1016/j.procs.2018.10.530" @default.
- W2901544186 hasPublicationYear "2018" @default.
- W2901544186 type Work @default.
- W2901544186 sameAs 2901544186 @default.
- W2901544186 citedByCount "27" @default.
- W2901544186 countsByYear W29015441862019 @default.
- W2901544186 countsByYear W29015441862020 @default.
- W2901544186 countsByYear W29015441862021 @default.
- W2901544186 countsByYear W29015441862022 @default.
- W2901544186 countsByYear W29015441862023 @default.
- W2901544186 crossrefType "journal-article" @default.
- W2901544186 hasAuthorship W2901544186A5000370774 @default.
- W2901544186 hasAuthorship W2901544186A5002867406 @default.
- W2901544186 hasAuthorship W2901544186A5038594833 @default.
- W2901544186 hasAuthorship W2901544186A5065429252 @default.
- W2901544186 hasBestOaLocation W29015441861 @default.
- W2901544186 hasConcept C108583219 @default.
- W2901544186 hasConcept C119857082 @default.
- W2901544186 hasConcept C153180895 @default.
- W2901544186 hasConcept C154945302 @default.
- W2901544186 hasConcept C31972630 @default.
- W2901544186 hasConcept C41008148 @default.
- W2901544186 hasConcept C81363708 @default.
- W2901544186 hasConceptScore W2901544186C108583219 @default.
- W2901544186 hasConceptScore W2901544186C119857082 @default.
- W2901544186 hasConceptScore W2901544186C153180895 @default.
- W2901544186 hasConceptScore W2901544186C154945302 @default.
- W2901544186 hasConceptScore W2901544186C31972630 @default.
- W2901544186 hasConceptScore W2901544186C41008148 @default.
- W2901544186 hasConceptScore W2901544186C81363708 @default.
- W2901544186 hasLocation W29015441861 @default.
- W2901544186 hasOpenAccess W2901544186 @default.
- W2901544186 hasPrimaryLocation W29015441861 @default.
- W2901544186 hasRelatedWork W2337926734 @default.
- W2901544186 hasRelatedWork W2732542196 @default.
- W2901544186 hasRelatedWork W2738221750 @default.
- W2901544186 hasRelatedWork W2963958939 @default.
- W2901544186 hasRelatedWork W3021430260 @default.
- W2901544186 hasRelatedWork W3136076031 @default.
- W2901544186 hasRelatedWork W3156786002 @default.
- W2901544186 hasRelatedWork W4311257506 @default.
- W2901544186 hasRelatedWork W4319994054 @default.
- W2901544186 hasRelatedWork W564581980 @default.
- W2901544186 hasVolume "144" @default.
- W2901544186 isParatext "false" @default.
- W2901544186 isRetracted "false" @default.
- W2901544186 magId "2901544186" @default.
- W2901544186 workType "article" @default.