Title :
Study and Application of Moving Vehicle Image Matching Methods
Author :
Li, Yucheng ; Zhang, Yue ; Zhang, Ying
Author_Institution :
Mech. & Electr. Eng., North China Univ. of Technol., Beijing, China
Abstract :
It proposes a SIFT-RANSAC algorithm for the object recognition of moving vehicles combining the SIFT image matching theory and RANSAC algorithm. The paper designs a detection system, the Intelligent Traffic Management, which is used to solve the difficulties, such as traffic lanes changes, large body sizes and mutual interference between vehicles and so on, in the previous frame and the update frame. The experiments demonstrate that the SIFT-RANSAC algorithm has better performance.
Keywords :
automated highways; image matching; image motion analysis; object recognition; road vehicles; SIFT image matching theory; SIFT-RANSAC algorithm; intelligent traffic management; moving vehicle image matching methods; object recognition; random sample consensus; scale invariant feature transform; Algorithm design and analysis; Conferences; Feature extraction; Fitting; Image matching; Vehicles; Velocity measurement; SIFT; image matching; intelligent transportation; vehicle tracking;
Conference_Titel :
Information Technology and Computer Science (ITCS), 2010 Second International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-1-4244-7293-2
Electronic_ISBN :
978-1-4244-7294-9
DOI :
10.1109/ITCS.2010.72
