Real-time vehicle recognition using local feature extraction

A novel feature extraction method based on local textures of image 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 pr esented that show a reduction in computational load of 80% and robustness t o illumination and noise can be achieved.