A visual saliency based method for vehicle logo detection

Fan Zhang; Yiping Shen; Hongxing Chang

doi:10.1117/12.2030883

19 July 2013 A visual saliency based method for vehicle logo detection

Fan Zhang, Yiping Shen, Hongxing Chang

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 887833 (2013) https://doi.org/10.1117/12.2030883
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

This paper presents a novel method based on visual saliency and template matching for detecting vehicle logo from images captured by cross-road cameras. To detect the logo, such method first generates a saliency map based on the modified Itti’s saliency model, and then obtains regions of interest (ROI) by thresholding the saliency map, at last performs an edge-based template matching to locate the logo. Experiments on more than 2400 images validate both high accuracy and efficiency of the proposed method, and demonstrates our method suitable for real-time application.

Citation Download Citation

Fan Zhang, Yiping Shen, and Hongxing Chang "A visual saliency based method for vehicle logo detection", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887833 (19 July 2013); https://doi.org/10.1117/12.2030883

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