A Novel Definition of <i>L</i>‐Fuzzy Lattice Based on Fuzzy Set

Zhang, Junfang

doi:10.1155/2013/678586

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“…After the previous parameters have been calculated, fuzzy logic [ 26 ] is used in the proposed fall detection subsystem to determine the ranges for the fall indicators and to classify one of the possible fall patterns. Fuzzy logic eases the problem of fall detection, on the one hand, and facilitates recognition of fall patterns, on the other hand.…”

Section: Methodsmentioning

confidence: 99%

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

Fernández-Caballero

Sokolova

Serrano-Cuerda³

2013

The Scientific World Journal

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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.

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Section: Methodsmentioning

confidence: 99%