Title :
Reach on Sobel Operator for Vehicle Recognition
Author_Institution :
Sch. of Comput., ChongQing Univ. of Arts & Sci., Chongqing, China
Abstract :
Vehicle type recognition is an active subject in the area of computer pattern recognition, which has been a focus in reach for the last couple of decades because of its wide potential application. And edge detection is an important step for vehicle type recognition, a vehicle type recognition method based on Sobel was proposed. Also discussed are the vehicle vector and the vehicle recognize process. Experiments have been conducted for vehicle video. The result shows that the vehicle edge could be detected easily by the Sobel operator, and the vehicle feature can be extracted in short time. So, the Sobel operator can be good fit for vehicle type recognition.
Keywords :
edge detection; feature extraction; road vehicles; traffic engineering computing; Sobel operator; computer pattern recognition; edge detection; feature extraction; vehicle type recognition; Application software; Feature extraction; Focusing; Image edge detection; Image processing; Image texture analysis; Intelligent vehicles; Pattern recognition; Pixel; Vehicle detection; Sobel operator; boundary; edge detection; vehicl type; vehicle recognition;
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
DOI :
10.1109/JCAI.2009.54