Matches in SemOpenAlex for { <https://semopenalex.org/work/W2116800718> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2116800718 abstract "There have as yet been few gait biometrics approaches which use temporal 3D data. Clearly, 3D gait data conveys more information than 2D data and it is also the natural representation of human gait perceived by human. In this paper we explore the potential of using model-based methods in a 3D volumetric (voxel) gait dataset. We use a structural model including articulated cylinders with 3D Degrees of Freedom (DoF) at each joint to model the human lower legs. We develop a simple yet effective model-fitting algorithm using this gait model, correlation filter and a dynamic programming approach. Human gait kinematics trajectories are then extracted by fitting the gait model into the gait data. At each frame we generate a correlation energy map between the gait model and the data. Dynamic programming is used to extract the gait kinematics trajectories by selecting the most likely path in the whole sequence. We are successfully able to extract both gait structural and dynamics features. Some of the features extracted here are inherently unique to 3D data. Analysis on a database of 46 subjects each with 4 sample sequences, shows an encouraging correct classification rate and suggests that 3D features can contribute even more." @default.
- W2116800718 created "2016-06-24" @default.
- W2116800718 creator A5014438135 @default.
- W2116800718 creator A5073733929 @default.
- W2116800718 date "2011-10-01" @default.
- W2116800718 modified "2023-10-10" @default.
- W2116800718 title "Model-based 3D gait biometrics" @default.
- W2116800718 cites W1505018791 @default.
- W2116800718 cites W1599576902 @default.
- W2116800718 cites W1610824330 @default.
- W2116800718 cites W1966555152 @default.
- W2116800718 cites W2132539416 @default.
- W2116800718 cites W2140029174 @default.
- W2116800718 cites W2162083867 @default.
- W2116800718 cites W2538522636 @default.
- W2116800718 doi "https://doi.org/10.1109/ijcb.2011.6117582" @default.
- W2116800718 hasPublicationYear "2011" @default.
- W2116800718 type Work @default.
- W2116800718 sameAs 2116800718 @default.
- W2116800718 citedByCount "90" @default.
- W2116800718 countsByYear W21168007182012 @default.
- W2116800718 countsByYear W21168007182013 @default.
- W2116800718 countsByYear W21168007182014 @default.
- W2116800718 countsByYear W21168007182015 @default.
- W2116800718 countsByYear W21168007182016 @default.
- W2116800718 countsByYear W21168007182017 @default.
- W2116800718 countsByYear W21168007182018 @default.
- W2116800718 countsByYear W21168007182019 @default.
- W2116800718 countsByYear W21168007182020 @default.
- W2116800718 countsByYear W21168007182021 @default.
- W2116800718 countsByYear W21168007182022 @default.
- W2116800718 countsByYear W21168007182023 @default.
- W2116800718 crossrefType "proceedings-article" @default.
- W2116800718 hasAuthorship W2116800718A5014438135 @default.
- W2116800718 hasAuthorship W2116800718A5073733929 @default.
- W2116800718 hasBestOaLocation W21168007182 @default.
- W2116800718 hasConcept C121332964 @default.
- W2116800718 hasConcept C151800584 @default.
- W2116800718 hasConcept C153180895 @default.
- W2116800718 hasConcept C154945302 @default.
- W2116800718 hasConcept C173906292 @default.
- W2116800718 hasConcept C184297639 @default.
- W2116800718 hasConcept C31972630 @default.
- W2116800718 hasConcept C39920418 @default.
- W2116800718 hasConcept C41008148 @default.
- W2116800718 hasConcept C71924100 @default.
- W2116800718 hasConcept C74650414 @default.
- W2116800718 hasConcept C99508421 @default.
- W2116800718 hasConceptScore W2116800718C121332964 @default.
- W2116800718 hasConceptScore W2116800718C151800584 @default.
- W2116800718 hasConceptScore W2116800718C153180895 @default.
- W2116800718 hasConceptScore W2116800718C154945302 @default.
- W2116800718 hasConceptScore W2116800718C173906292 @default.
- W2116800718 hasConceptScore W2116800718C184297639 @default.
- W2116800718 hasConceptScore W2116800718C31972630 @default.
- W2116800718 hasConceptScore W2116800718C39920418 @default.
- W2116800718 hasConceptScore W2116800718C41008148 @default.
- W2116800718 hasConceptScore W2116800718C71924100 @default.
- W2116800718 hasConceptScore W2116800718C74650414 @default.
- W2116800718 hasConceptScore W2116800718C99508421 @default.
- W2116800718 hasLocation W21168007181 @default.
- W2116800718 hasLocation W21168007182 @default.
- W2116800718 hasLocation W21168007183 @default.
- W2116800718 hasOpenAccess W2116800718 @default.
- W2116800718 hasPrimaryLocation W21168007181 @default.
- W2116800718 hasRelatedWork W114829050 @default.
- W2116800718 hasRelatedWork W2120706852 @default.
- W2116800718 hasRelatedWork W2333156191 @default.
- W2116800718 hasRelatedWork W2361305551 @default.
- W2116800718 hasRelatedWork W2378705916 @default.
- W2116800718 hasRelatedWork W2383459286 @default.
- W2116800718 hasRelatedWork W2538303932 @default.
- W2116800718 hasRelatedWork W2923338238 @default.
- W2116800718 hasRelatedWork W3133025409 @default.
- W2116800718 hasRelatedWork W4385707224 @default.
- W2116800718 isParatext "false" @default.
- W2116800718 isRetracted "false" @default.
- W2116800718 magId "2116800718" @default.
- W2116800718 workType "article" @default.