title: Lateral inhibition in accumulative computation and fuzzy sets for human fall pattern recognition in colour and infrared imagery.
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.
authors.affiliation: Instituto de Investigación en Informática de Albacete (I3A), 02071 Albacete, Spain ; Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071 Albacete, Spain.
authors.forename: Antonio
authors.initials: A
authors.lastname: Fernández-Caballero
authors.forename: Marina V
authors.initials: MV
authors.lastname: Sokolova
authors.forename: Juan
authors.initials: J
authors.lastname: Serrano-Cuerda
mesh_terms: D000058:Accidental Falls; D001696:Biomechanical Phenomena; D003116:Color; D017143:Fuzzy Logic; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007259:Infrared Rays; D011187:Posture