DocumentCode
589400
Title
A Vehicle Detection Algorithm Based on Three-Frame Differencing and Background Subtraction
Author
Haiying Zhang ; Kun Wu
Author_Institution
Software Sch., Xiamen Univ., Xiamen, China
Volume
1
fYear
2012
fDate
28-29 Oct. 2012
Firstpage
148
Lastpage
151
Abstract
A vehicle detection algorithm based on three-frame differencing and background subtraction is presented in this paper. Firstly, improved GMM is for background subtraction, then the moving object region is gained using background subtraction, and then the background subtraction is combined with three-frame differencing to detect the motion information. The simulation results show that the proposed algorithm runs veraciously and can lower the false detection rate, and fits for real time detection.
Keywords
Gaussian processes; image motion analysis; object detection; road vehicles; traffic engineering computing; Gaussian mixture modeling; background subtraction; motion information detection; three-frame differencing; vehicle detection algorithm; Accuracy; Adaptation models; Equations; Gaussian distribution; Mathematical model; Object detection; Real-time systems; Background subtraction; Motion detection; Three-frame Differencing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-2646-9
Type
conf
DOI
10.1109/ISCID.2012.45
Filename
6406940
Link To Document