Hybrid background model using spatial-temporal LBP

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Citations (Scopus)

Abstract

Background modeling has been widely researched to detect moving objects from image sequences. It is necessary to adapt the background model various changes of illumination condition. Recent years, a hybrid type of background model which consists of more than one background model has been used for object detection since it is very robust for illumination changes. In this paper, we also propose a new hybrid type of background model named "Hybrid Spatial-Temporal Background Model". Our model consists of two different kinds of background models. One is pixel-level background model which is robust for long-term illumination changes. The other is spatial-temporal background model which is robust for short-term illumination changes. Our experimental results demonstrate superiority of our method to some related works.

Original languageEnglish
Title of host publication6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009
Pages19-24
Number of pages6
DOIs
Publication statusPublished - Dec 28 2009
Event6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009 - Genova, Italy
Duration: Sep 2 2009Sep 4 2009

Publication series

Name6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009

Other

Other6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009
CountryItaly
CityGenova
Period9/2/099/4/09

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

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