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  • Javadi, Mohammad Saleh, 1986-, et al. (author)
  • Vehicle classification based on multiple fuzzy c-means clustering using dimensions and speed features
  • 2018
  • In: Procedia Computer Science. - : Elsevier. ; , s. 1344-1350
  • Conference paper (peer-reviewed)abstract
    • Vehicle classification has a significant use in traffic surveillance and management. There are many methods proposed to accomplish this task using variety of sensorS. In this paper, a method based on fuzzy c-means (FCM) clustering is introduced that uses dimensions and speed features of each vehicle. This method exploits the distinction in dimensions features and traffic regulations for each class of vehicles by using multiple FCM clusterings and initializing the partition matrices of the respective classifierS. The experimental results demonstrate that the proposed approach is successful in clustering vehicles from different classes with similar appearanceS. In addition, it is fast and efficient for big data analysiS.
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Type of publication
conference paper (1)
Type of content
peer-reviewed (1)
Author/Editor
Pettersson, Mats, 19 ... (1)
Dahl, Mattias (1)
Javadi, Mohammad Sal ... (1)
Rameez, Muhammad, 19 ... (1)
University
Blekinge Institute of Technology (1)
Language
English (1)
Research subject (UKÄ/SCB)
Engineering and Technology (1)
Year
2018 (1)

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