Human recognition based on gait poses
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Altres documents de l'autoria: Martín Félez, Raúl; Mollineda, Ramón A.; Sánchez Garreta, Josep Salvador
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Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/8634
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Human recognition based on gait posesData de publicació
2011Editor
SpringerISSN
0302-9743; 1611-3349Cita bibliogràfica
Lecture notes in computer science (2011), vol. 6669, 347-354Tipus de document
info:eu-repo/semantics/articleVersió
info:eu-repo/semantics/submittedVersionParaules clau / Matèries
Resum
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. [-]
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© Springer-Verlag Berlin Heidelberg 2011
http://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
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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