Vehicle Tracking Based on Kalman Filter in Tunnel

  • Gyuyeong Kim
  • Hyuntae Kim
  • Jangsik Park
  • Yunsik Yu
Part of the Communications in Computer and Information Science book series (CCIS, volume 200)


The image recognition system using CCTV camera has been introduced to minimize not only loss of life and property but also traffic jam in the tunnel. In this paper, object detection algorithm is proposed to track vehicles. The proposed algorithm is to detect cars based on Adaboost and to track vehicles to use Kalman filtering. As results of simulations, it is shown that proposed algorithm is useful for tracking vehicles.


Adaboost Algorithm Kalman Filter Object Tracking 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Gyuyeong Kim
    • 1
  • Hyuntae Kim
    • 2
  • Jangsik Park
    • 3
  • Yunsik Yu
    • 1
  1. 1.Convergence of IT DevicesInstitute BusanBusanjin-kuKorea
  2. 2.Department of Multimedia EngineeringDongeui UniversityBusanjin-kuKorea
  3. 3.Department of Electronics EngineeringKyungsung UniversityNam-guKorea

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