Title :
Vehicle make and model recognition by keypoint matching of pseudo frontal view
Author :
Shinozuka, Yasuhiro ; Miyano, Ruiko ; Minagawa, Tomonori ; Saito, Hiroshi
Author_Institution :
Dept. of Inf. & Comput. Sci., Keio Univ., Yokohama, Japan
Abstract :
We propose a vehicle make and model recognition method for the smart phone, and implemented it onto them. Our method identifies the make and model from the variety of viewpoints while the conventional methods for VMMR work only for the frontal or rear view images. This method enables the users to take the pictures from a certain range of angles. Our method uses SIFT, that has scale and rotation invariance to solve the alignment issue. It creates the pseudo frontal view images by homography matrix and extracts the keypoints. Homography matrix is calculated with the position of the license plate. Our experimental result shows our method enables to recognize up to 60-degree angle.
Keywords :
feature extraction; image matching; matrix algebra; road vehicles; smart phones; traffic engineering computing; transforms; Homography matrix; VMMR; frontal view images; homography matrix; keypoint extraction; keypoint matching; pseudo frontal view; rear view images; scale invariant feature transform; smart phone; vehicle make recognition; vehicle model recognition; Databases; Feature extraction; Image color analysis; Licenses; Smart phones; Vehicles; Wheels; Image Retrieval; Keypoint Matching; SIFT; Vehicle Make and Model Recognition; View Invariance;
Conference_Titel :
Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on
Conference_Location :
San Jose, CA
DOI :
10.1109/ICMEW.2013.6618332
