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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Format: | Article |
Language: | English |
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Wiley
2013-01-01
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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 |
id | doaj-art-b15647a7a5b64344b537b2319d94f679 |
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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