DocumentCode
1806986
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
fYear
2010
fDate
24-25 July 2010
Firstpage
268
Lastpage
272
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ITCS.2010.72
Filename
5557135
Link To Document