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Histogram-Based Human Segmentation Technique for Infrared Images

  • Di WuEmail author
  • Zuofeng Zhou
  • Hongtao Yang
  • Jianzhong Cao
Conference paper
  • 323 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 555)

Abstract

Human detection in infrared video surveillance system is a challenging issue of computer vision. Effective human segmentation plays an important role in human detection. However, occlusion between different people makes it difficult to segment human groups. In this paper, we propose a new method for infrared human segmentation based on the histogram information. After selecting regions of interest with background subtraction, each connected human region is separated into single ones by analyzing histogram trend and calculating peak number. Experiment results show the accuracy of our method.

Keywords

Histogram Human segmentation Infrared images 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Di Wu
    • 1
    • 2
    Email author
  • Zuofeng Zhou
    • 1
  • Hongtao Yang
    • 1
  • Jianzhong Cao
    • 1
  1. 1.Xi’an Institute of Optics and Precision Mechanics of CASXi’anPeople’s Republic of China
  2. 2.University of Chinese Academy of SciencesBeijingPeople’s Republic of China

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