Video-Based Vehicle Detection Approach with Data-Driven Adaptive Neuro-Fuzzy Networks

Article Properties
  • Language
    English
  • Publication Date
    2015/09/28
  • Indian UGC (journal)
  • Refrences
    35
  • Kunfeng Wang State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
  • Yanjie Yao State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
Abstract
Cite
Wang, Kunfeng, and Yanjie Yao. “Video-Based Vehicle Detection Approach With Data-Driven Adaptive Neuro-Fuzzy Networks”. International Journal of Pattern Recognition and Artificial Intelligence, vol. 29, no. 07, 2015, p. 1555015, https://doi.org/10.1142/s0218001415550150.
Wang, K., & Yao, Y. (2015). Video-Based Vehicle Detection Approach with Data-Driven Adaptive Neuro-Fuzzy Networks. International Journal of Pattern Recognition and Artificial Intelligence, 29(07), 1555015. https://doi.org/10.1142/s0218001415550150
Wang K, Yao Y. Video-Based Vehicle Detection Approach with Data-Driven Adaptive Neuro-Fuzzy Networks. International Journal of Pattern Recognition and Artificial Intelligence. 2015;29(07):1555015.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Mechanical engineering and machinery
Refrences
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Manufactures: Production management. Operations management
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
16 2009
Effect of shadows and time of day on performance of video detection systems at signalized intersections Transportation Research Part C: Emerging Technologies
  • Technology: Engineering (General). Civil engineering (General): Transportation engineering
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
8 2010
A self-organizing neuro-fuzzy network based on first order effect sensitivity analysis Neurocomputing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
7 2013
LIBSVM

ACM Transactions on Intelligent Systems and Technology
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
13,172 2011