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dc.contributor.authorOrtegon Aguilar, Jaime Silverio
dc.contributor.authorBayro Corrochano, Eduardo Jose
dc.date.accessioned2021-02-11T05:24:58Z
dc.date.available2021-02-11T05:24:58Z
dc.date.issued2008
dc.identifier.issn1176-2322
dc.identifier.urihttp://hdl.handle.net/20.500.12249/2414
dc.description.abstractPeople tracking is an interesting topic in computer vision. It has applications in industrial áreas such as surveillance or human-machine interaction. Particle Filters is a common algorithm for people tracking; challenging situations occur when the target’s motion is poorly modelled or with unexpected motions. In this paper, an alternative to address people tracking is presented. The proposed algorithm is based in particle filters, but instead of using a dynamical model, it uses background subtraction to predict future locations of particles. The algorithm is able to track people in omnidirectional sequences with a low frame rate (one or two frames per second). Our approach can tackle unexpected discontinuities and changes in the direction of the motion. The main goal of the paper is to track people from laboratories,but it has applications in surveillance, mainly in controlled environments.
dc.description.provenanceSubmitted by Yeni Martin Cahum (yenimartin@uqroo.edu.mx) on 2021-02-11T05:24:58Z No. of bitstreams: 1 Particle-filter-tracking-without-dynamics.pdf: 1337865 bytes, checksum: 608acf778c053b14afdc89c24bbc5d9e (MD5)
dc.description.provenanceMade available in DSpace on 2021-02-11T05:24:58Z (GMT). No. of bitstreams: 1 Particle-filter-tracking-without-dynamics.pdf: 1337865 bytes, checksum: 608acf778c053b14afdc89c24bbc5d9e (MD5) Previous issue date: 2008
dc.formatpdf
dc.language.isoeng
dc.publisherTaylor & Francis Group
dc.relationApplied Bionics and Biomechanics.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceApplied Bionics and Biomechanics
dc.subjectProcesamiento de imagenes
dc.subjectVisión por computadora
dc.subject.classificationINGENIERÍA Y TECNOLOGÍA::CIENCIAS TECNOLÓGICAS::TECNOLOGÍA DE LOS ORDENADORES
dc.titleParticle filter tracking without dynamics.
dc.typeArtículo
dc.type.conacytarticle
dc.rights.accesopenAccess
dc.identificator7||33||3304
dc.audiencegeneralPublic
dc.identifier.doi10.1080/11762320701843499
dc.date.revista2008
dc.number.revista4
dc.divisionBiblioteca Unidad Académica Chetumal, Santiago Pacheco Cruz


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