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Prediction System of the Situation Using the Fast Object Detection and Profiling

  • Sang-June Park
  • Young-Deuk Moon
  • Dae-Seong Kang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 164)

Abstract

Background modeling of image segmentation is the most important role to image analysis and interpretation. Background modeling methods can be divided into the adaptive median filtering (AMF) and Gaussian mixture model (GMM). In this paper, we proved the superiority of AMF performance through comparison of GMM. In the first, background modeling that is based on GMM and the AMF compared to the performance in order to detect object by segmentation. AMF background modeling selected with performance measures is used to object detection. AMF modeling has demonstrated superior method than conventional methods through specific predefined conditions by profiling.

Keywords

AMF GMM Background segmentation Profiling Segmentation algorithm 

Notes

Acknowledgments

The heading should be treated as a 3rd level heading and should not be assigned a number.

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Copyright information

© Springer Science+Business Media Dortdrecht 2012

Authors and Affiliations

  • Sang-June Park
    • 1
  • Young-Deuk Moon
    • 2
  • Dae-Seong Kang
    • 1
  1. 1.Department of Electronics EngineeringDong-A UniversityBusanKorea
  2. 2.Department of Digital MediaBusan University of Foreign StudiesBusanKorea

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