Human recognition based on gait poses
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Otros documentos de la autoría: Martín Félez, Raúl; Mollineda, Ramón A.; Sánchez Garreta, Josep Salvador
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/8634
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Título
Human recognition based on gait posesFecha de publicación
2011Editor
SpringerISSN
0302-9743; 1611-3349Cita bibliográfica
Lecture notes in computer science (2011), vol. 6669, 347-354Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/submittedVersionPalabras clave / Materias
Resumen
This paper introduces a new approach for gait analysis based on the Gait Energy Image (GEI). The main idea is to segment the gait cycle into some biomechanical poses, and to compute a particular GEI for eachpose. ... [+]
This paper introduces a new approach for gait analysis based on the Gait Energy Image (GEI). The main idea is to segment the gait cycle into some biomechanical poses, and to compute a particular GEI for eachpose. Pose-based GEIs can better represent body parts and dynamics descriptors with respect to the usually blurred depiction provided by a general GEI. Gait classification is carried out by fusing separatedpose-based decisions. Experiments on human identification prove the benefits of this new approach when compared to the original GEI method. [-]
Derechos de acceso
© Springer-Verlag Berlin Heidelberg 2011
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info:eu-repo/semantics/openAccess
http://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
info:eu-repo/semantics/openAccess
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