Show simple item record

dc.contributor.authorLópez Méndez, Adolfo
dc.contributor.authorAlcoverro Vidal, Marcel
dc.contributor.authorPardàs Feliu, Montse
dc.contributor.authorCasas Pla, Josep Ramon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2012-07-04T15:54:42Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationLópez-Mendez, A. [et al.]. Approximate partitioning of observations in hierarchical particle filter body tracking. A: IEEE Conference on Computer Vision and Pattern Recognition. "2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops". 2011, p. 19-24.
dc.identifier.isbn978-1-4577-0529-8
dc.identifier.urihttp://hdl.handle.net/2117/16171
dc.description.abstractThis paper presents a model-based hierarchical particle filtering algorithm to estimate the pose and anthropometric parameters of humans in multi-view environments. Our method incorporates a novel likelihood measurement approach consisting of an approximate partitioning of observations. Provided that a partitioning of the human body model has been defined and associates body parts to state space variables, the proposed method estimates image regions that are relevant to that body part and thus to the state space variables of interest. The proposed regions are bounding boxes and consequently can be efficiently processed in a GPU. The algorithm is tested in a challenging dataset involving people playing tennis (TennisSense) and also in the well-known HumanEva dataset. The obtained results show the effectiveness of the proposed method.
dc.format.extent6 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Interacció home-màquina
dc.subject.lcshHuman locomotion
dc.titleApproximate partitioning of observations in hierarchical particle filter body tracking
dc.typeConference report
dc.subject.lemacMecànica humana
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1109/CVPRW.2011.5981712
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5981712
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac9478734
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorLópez-Mendez, A.; Alcoverro, M.; Pardas, M.; Casas, J.
local.citation.contributorIEEE Conference on Computer Vision and Pattern Recognition
local.citation.publicationName2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
local.citation.startingPage19
local.citation.endingPage24


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder