Title :
Knowledge Based Oblique Car Recognition Algorithm
Author :
Cai, Bo ; Tan, Feng ; Lu, Yi ; Zhang, Dengyi
Author_Institution :
Sch. of Comput., Wuhan Univ., Wuhan, China
Abstract :
Many existing car recognition algorithms are aiming at front/back and side view car detection. In this paper, an oblique car recognition algorithm is proposed. The algorithm is designed based on the common knowledge of the car, such as shape, contour, structure and so on. The experimental results of many oblique car images show that our method has fine accuracy in oblique car recognition.
Keywords :
automobiles; feature extraction; image recognition; contour; knowledge based oblique car recognition algorithm; oblique car image; shape; side view car detection; Algorithm design and analysis; Classification algorithms; Feature extraction; Fitting; Image edge detection; Pixel; Vehicles;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5678265