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Author:

Sun, Zhong-Hua (Sun, Zhong-Hua.) | Jiang, Bin (Jiang, Bin.) | Jia, Ke-Bin (Jia, Ke-Bin.) (Scholars:贾克斌)

Indexed by:

EI Scopus PKU CSCD

Abstract:

In order to detect the snow coverage status such as mild or heavy coverage on road to keep car running safe, snow coverage detection method together with naive Bayesian classification algorithm was proposed. Firstly, road visual feature was extracted from the video by the method of machine vision and video object segmentation. Then the road snow coverage status was classified with naive Bayesian classifier. The performance of KNN, ANN and SVM classifier for road snow coverage problem were compared.

Keyword:

Support vector machines Image segmentation Textures Motion compensation Snow Roads and streets Classification (of information)

Author Community:

  • [ 1 ] [Sun, Zhong-Hua]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Jiang, Bin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Jia, Ke-Bin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Jilin University (Engineering and Technology Edition)

ISSN: 1671-5497

Year: 2013

Issue: SUPPL.1

Volume: 43

Page: 380-383

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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