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Real-time vehicle recognition using local feature extraction

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2 Author(s)
Hwang, W. ; Dept. of Electron. Eng., Korea Univ., Seoul, South Korea ; Ko, H.

A novel feature extraction method based on local textures of images for real-time vehicle recognition tasks is proposed. In particular, feature vectors are extracted from judicious combinations of partitioning and overlapping image blocks with a view to reducing cardinality while retaining sufficient feature information for effective recognition. Experimental results are presented that show a reduction in computational load of 80% and robustness to illumination and noise can be achieved

Published in:

Electronics Letters  (Volume:37 ,  Issue: 7 )