Real-time background compensation for PTZ cameras using GPU accelerated and range-limited genetic algorithm search

Thuy Tuong Nguyen, Jae Wook Jeon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We propose a range-limited Genetic Algorithm (GA) search with an accelerated Graphics Processing Unit (GPU) based implementation for background compensation where pan-tilt-zoom (PTZ) cameras are used. Our method contains GA with search ranges restricted using histogram matching and GPU implementation of the range-limited GA. First, based on histogram matching, estimation of approximate scale (camera zoom) and translation (camera pan and tilt) parameters is used to restrict the ranges for the later GA search. Next, the GA is applied to find an optimal solution. Experimental comparisons of the proposed method to existing methods show that our work has advantages: robust to critical situations due to using GA, and fast processing.

Original languageEnglish
Title of host publicationAdvances in Image and Video Technology - 5th Pacific Rim Symposium, PSIVT 2011, Proceedings
Pages85-96
Number of pages12
EditionPART1
DOIs
StatePublished - 2011
Event5th Pacific-Rim Symposium on Video and Image Technology, PSIVT 2011 - Gwangju, Korea, Republic of
Duration: 20 Nov 201123 Nov 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART1
Volume7087 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th Pacific-Rim Symposium on Video and Image Technology, PSIVT 2011
Country/TerritoryKorea, Republic of
CityGwangju
Period20/11/1123/11/11

Keywords

  • Background compensation
  • GA
  • GPU
  • histogram matching

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