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

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 post...

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Main Authors: Antonio Fernández-Caballero, Marina V. Sokolova, Juan Serrano-Cuerda
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/935026
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author Antonio Fernández-Caballero
Marina V. Sokolova
Juan Serrano-Cuerda
author_facet Antonio Fernández-Caballero
Marina V. Sokolova
Juan Serrano-Cuerda
author_sort Antonio Fernández-Caballero
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 1537-744X
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-b15647a7a5b64344b537b2319d94f6792025-02-03T01:31:42ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/935026935026Lateral Inhibition in Accumulative Computation and Fuzzy Sets for Human Fall Pattern Recognition in Colour and Infrared ImageryAntonio Fernández-Caballero0Marina V. Sokolova1Juan Serrano-Cuerda2Instituto de Investigación en Informática de Albacete (I3A), 02071 Albacete, SpainInstituto de Investigación en Informática de Albacete (I3A), 02071 Albacete, SpainInstituto de Investigación en Informática de Albacete (I3A), 02071 Albacete, SpainFall 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.http://dx.doi.org/10.1155/2013/935026
spellingShingle Antonio Fernández-Caballero
Marina V. Sokolova
Juan Serrano-Cuerda
Lateral Inhibition in Accumulative Computation and Fuzzy Sets for Human Fall Pattern Recognition in Colour and Infrared Imagery
The Scientific World Journal
title Lateral Inhibition in Accumulative Computation and Fuzzy Sets for Human Fall Pattern Recognition in Colour and Infrared Imagery
title_full Lateral Inhibition in Accumulative Computation and Fuzzy Sets for Human Fall Pattern Recognition in Colour and Infrared Imagery
title_fullStr Lateral Inhibition in Accumulative Computation and Fuzzy Sets for Human Fall Pattern Recognition in Colour and Infrared Imagery
title_full_unstemmed Lateral Inhibition in Accumulative Computation and Fuzzy Sets for Human Fall Pattern Recognition in Colour and Infrared Imagery
title_short Lateral Inhibition in Accumulative Computation and Fuzzy Sets for Human Fall Pattern Recognition in Colour and Infrared Imagery
title_sort lateral inhibition in accumulative computation and fuzzy sets for human fall pattern recognition in colour and infrared imagery
url http://dx.doi.org/10.1155/2013/935026
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AT juanserranocuerda lateralinhibitioninaccumulativecomputationandfuzzysetsforhumanfallpatternrecognitionincolourandinfraredimagery