Real-time human segmentation in infrared videos

  • Authors:
  • Antonio Fernández-Caballero;José Carlos Castillo;Juan Serrano-Cuerda;Saturnino Maldonado-Bascón

  • Affiliations:
  • Instituto de Investigación en Informática de Albacete (I3A), Universidad de Castilla-La Mancha, 02071-Albacete, Spain and Departamento de Sistemas Informáticos, Escuela de Ingeniero ...;Instituto de Investigación en Informática de Albacete (I3A), Universidad de Castilla-La Mancha, 02071-Albacete, Spain;Instituto de Investigación en Informática de Albacete (I3A), Universidad de Castilla-La Mancha, 02071-Albacete, Spain;Department of Signal Theory and Communications, Escuela Politécnica Superior, Universidad de Alcalá, 28871-Alcalá de Henares, Madrid, Spain

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2011

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Abstract

In this paper, a new approach to real-time people segmentation through processing images captured by an infrared camera is introduced. The approach starts detecting human candidate blobs processed through traditional image thresholding techniques. Afterwards, the blobs are refined with the objective of validating the content of each blob. The question to be solved is if each blob contains one single human candidate or more than one. If the blob contains more than one possible human, the blob is divided to fit each new candidate in height and width.