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An Effective Recognition Method for Road Information Based on Mobile Terminal

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  • Zheng Kun
  • Wang Wenpeng
  • Sun Guangmin

Abstract

This paper describes a design of fast recognition of road information based on mobile terminal. Firstly, based on the HOG algorithm, we study and verify the effects of different parameters on the performance of the algorithm. Secondly, we test 800 images randomly selected from the INRIA pedestrian dataset to obtain the optimal parameters for the mobile terminal and the proportion of video resolution and detection window. Then, under the same test conditions, the time overheads of the SVMLight and the LibSVM are recorded and SVMLight training time is significantly less than LibSVM. Thirdly, we design and implement a real-time road information recognition and warning system on the Windows platform and Android platform. Features include real-time pedestrians detection, voice warning, and road signs recognition. When the vehicle speed is less than 30 km/h, the video resolution is less than 720 × 576 and the detection window/image ratio is less than 1 : 50; the system can guarantee low delay and high recognition rate (97.2%).

Suggested Citation

  • Zheng Kun & Wang Wenpeng & Sun Guangmin, 2014. "An Effective Recognition Method for Road Information Based on Mobile Terminal," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-8, November.
    • Handle: RePEc:hin:jnlmpe:781903
    DOI: 10.1155/2014/781903
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