›› 2015, Vol. 28 ›› Issue (7): 129-.

• Articles • Previous Articles     Next Articles

Crowd Density Estimation Based on Pixel and Texture

WANG Qiang,SUN Hong   

  1. (1.School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;
    2.Shanghai Key Lab of Modern Optical System,Shanghai 200093,China)
  • Online:2015-07-15 Published:2015-07-13

Abstract:

A crowd density estimation algorithm based on the pixel and texture is proposed.The Vibe algorithm is adopted for foreground extraction with the interested area (ROI) set to reduce the computational complexity.To solve the errors caused by the distance of the crowd,the morphology processing and perspective correction is involved.A standard is introduced to divide the crowd density to overcome the errors induced by changes in the crowd density.The experimental results show that the arithmetic speed and the accuracy are considerable,which verifies the reliability of the algorithm.

Key words: pixel;texture;foreground extraction;crowd density

CLC Number: 

  • TP391.41