Title :
A Moving Objects Detection Algorithm Based on Improved Background Subtraction
Author :
Niu, Lianqiang ; Jiang, Nan
Author_Institution :
Shenyang Univ. of Technol., Shenyang
Abstract :
This paper puts forward an improved background subtraction of moving object detection under fixed camera condition. First of all, considering the pixels neighboring relativity, the algorithm through the interval pixels establishment of Gaussian mixture model instead of the traditional point by point establishes Gaussian mixture model in background subtraction. Then, combining the adaptive background subtraction with the symmetrical differencing obtains the integrity foreground image. At last, using chromaticity difference to eliminate the shadow of moving target, effectively distinguishes moving shadow and moving target .The results show that the algorithm could quickly establish background model and detect integrity moving target rapidly.
Keywords :
Gaussian distribution; image colour analysis; image motion analysis; object detection; Gaussian mixture model; adaptive background subtraction; camera; chromaticity difference; color model; foreground image integrity; image pixel; moving object detection algorithm; target detection; Data mining; Hardware; Image motion analysis; Integrated optics; Intelligent systems; Layout; Object detection; Optical sensors; Pixel; Smart cameras; Gaussian mixture model; background subtraction; moving object; symmetrical differencing;
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.337