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
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;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.45
