Improved Gaussian Mixture Models for Adaptive Foreground Segmentation


Adaptive foreground segmentation is traditionally performed using Stauffer & Grimson’s algorithm that models every pixel of the frame by a mixture of Gaussian distributions with continuously adapted parameters. In this paper we provide an enhancement of the algorithm by adding two important dynamic elements to the baseline algorithm: The learning rate can… (More)
DOI: 10.1007/s11277-015-2628-3


10 Figures and Tables


Citations per Year

Citation Velocity: 12

Averaging 12 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.

Slides referencing similar topics