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Patch-based vehicle logo detection with patch intensity and weight matrix

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Abstract

A patch-based method for detecting vehicle logos using prior knowledge is proposed. By representing the coarse region of the logo with the weight matrix of patch intensity and position, the proposed method is robust to bad and complex environmental conditions. The bounding-box of the logo is extracted by a thershloding approach. Experimental results show that 93.58% location accuracy is achieved with 1100 images under various environmental conditions, indicating that the proposed method is effective and suitable for the location of vehicle logo in practical applications.

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Authors and Affiliations

  1. School of Science, Wuhan University of Technology, Wuhan, 430070, China

    Hai-ming Liu  (刘海明), Zhang-can Huang  (黄樟灿) & Ahmed Mahgoub Ahmed Talab

  2. College of Engineering, Elimam ELMahdi University, Kosti, Sudan

    Ahmed Mahgoub Ahmed Talab

Authors
  1. Hai-ming Liu  (刘海明)
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  2. Zhang-can Huang  (黄樟灿)
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  3. Ahmed Mahgoub Ahmed Talab
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Correspondence to Zhang-can Huang  (黄樟灿).

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Liu, Hm., Huang, Zc. & Talab, A.M.A. Patch-based vehicle logo detection with patch intensity and weight matrix. J. Cent. South Univ. 22, 4679–4686 (2015). https://doi.org/10.1007/s11771-015-3018-4

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  • DOI: https://doi.org/10.1007/s11771-015-3018-4

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