A survey of techniques for human detection in static images

  • Authors:
  • T. Santhanam;C. P. Sumathi;S. Gomathi

  • Affiliations:
  • DG Vaishnav College for Men, Chennai, India;SDNB Vaishnav College for Women, Chennai, India;SDNB Vaishnav College for Women, Chennai, India

  • Venue:
  • Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
  • Year:
  • 2012

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Abstract

Human detection is the first step for a number of applications such as smart video surveillance, driving assistance systems and intelligent digital content management. Object detection is one of the most important preprocessing steps in object recognition and identification systems. It's a challenging problem due to the variance of illumination, color, scale, pose and so forth. This can be done by searching and indexing still image containing object in various size, position and background. This paper reviews various aspects of human detection in static images and focus on learning based method that builds classifiers.