Document Type

Technical Report

Publication Date

2004-05-11

Filename

wucse-2004-25.pdf

DOI:

10.7936/K79Z937G

Technical Report Number

WUCSE-2004-25

Abstract

This paper promotes a probabilistic approach for building models of local video statistics for use in background subtraction schemes. By shifting into a probabilistic framework, additional analytical tools become available for the creation and evaluation of these models. This paper continues to suggest the use of nonparametric statistical methods for measuring the quality of efficient local spatio-temporal models of video background distributions. Beginning with the familiar relative entropy distance between probability distributions, we create a new distance measure that can be used to quantitatively measure the quality of a probabilistic background model.

Comments

Permanent URL: http://dx.doi.org/10.7936/K79Z937G

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