A Moving Objects Detection Algorithm Based on Improved Background Subtraction

  • Authors:
  • Lianqiang Niu;Nan Jiang

  • Affiliations:
  • -;-

  • Venue:
  • ISDA '08 Proceedings of the 2008 Eighth International Conference on Intelligent Systems Design and Applications - Volume 03
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

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.