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The Scientific World Journal
Volume 2013 (2013), Article ID 935026, 10 pages
http://dx.doi.org/10.1155/2013/935026
Research Article

Lateral Inhibition in Accumulative Computation and Fuzzy Sets for Human Fall Pattern Recognition in Colour and Infrared Imagery

1Instituto de Investigación en Informática de Albacete (I3A), 02071 Albacete, Spain
2Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071 Albacete, Spain
3Southwest State University, 94, 50 let Oktyabrya, Kursk 305040, Russia

Received 9 August 2013; Accepted 16 September 2013

Academic Editors: P. Melin, J. Pavón, and B. Zalik

Copyright © 2013 Antonio Fernández-Caballero et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Fall detection is an emergent problem in pattern recognition. In this paper, a novel approach which enables to identify a type of a fall and reconstruct its characteristics is presented. The features detected include the position previous to a fall, the direction and velocity of a fall, and the postfall inactivity. Video sequences containing a possible fall are analysed image by image using the lateral inhibition in accumulative computation method. With this aim, the region of interest of human figures is examined in each image, and geometrical and kinematic characteristics for the sequence are calculated. The approach is valid in colour and in infrared video.