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Real-Time Background Compensation for PTZ Cameras Using GPU Accelerated and Range-Limited Genetic Algorithm Search

  • Thuy Tuong Nguyen
  • Jae Wook Jeon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7087)

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.

Keywords

Background compensation histogram matching GA GPU 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Thuy Tuong Nguyen
    • 1
  • Jae Wook Jeon
    • 1
  1. 1.School of Information and Communication EngineeringSungkyunkwan UniversitySuwonKorea

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