Matches in SemOpenAlex for { <https://semopenalex.org/work/W3006069760> ?p ?o ?g. }
- W3006069760 abstract "Gait is a unique biometric identifier for its non-invasive and low-cooperative features. Gait-based attribute recognition can play a crucial role in a wide range of applications, such as intelligent surveillance and criminal retrieval. However, due to the lack of data, there are relatively few studies which apply deep convolutional neural networks on gait attribute recognition. In this study, with the new progress in public gait dataset, we proposed a deep convolutional neural network with multi-task learning for gait-based human age estimation. Gait energy images are directly fed into our model for age estimation while gender information is also integrated for improving the performance of age estimation. The experiments on large-scale OULP-Age dataset show that our model outperforms the state-of-the-art." @default.
- W3006069760 created "2020-02-24" @default.
- W3006069760 creator A5012121355 @default.
- W3006069760 creator A5050613147 @default.
- W3006069760 creator A5062716361 @default.
- W3006069760 date "2019-06-01" @default.
- W3006069760 modified "2023-09-26" @default.
- W3006069760 title "Gait-Based Age Estimation with Deep Convolutional Neural Network" @default.
- W3006069760 cites W1563917320 @default.
- W3006069760 cites W1896424170 @default.
- W3006069760 cites W2015861736 @default.
- W3006069760 cites W2018110376 @default.
- W3006069760 cites W2026486079 @default.
- W3006069760 cites W2046033161 @default.
- W3006069760 cites W2116800718 @default.
- W3006069760 cites W2117539524 @default.
- W3006069760 cites W2126680226 @default.
- W3006069760 cites W2194775991 @default.
- W3006069760 cites W2322772590 @default.
- W3006069760 cites W2407362091 @default.
- W3006069760 cites W2510190030 @default.
- W3006069760 cites W2621987429 @default.
- W3006069760 cites W2745659361 @default.
- W3006069760 cites W2751392952 @default.
- W3006069760 cites W2754666677 @default.
- W3006069760 cites W2774478952 @default.
- W3006069760 cites W2777027507 @default.
- W3006069760 cites W2788751553 @default.
- W3006069760 cites W2802803153 @default.
- W3006069760 cites W2962992964 @default.
- W3006069760 cites W2963589138 @default.
- W3006069760 cites W3105827609 @default.
- W3006069760 cites W2291924390 @default.
- W3006069760 doi "https://doi.org/10.1109/icb45273.2019.8987240" @default.
- W3006069760 hasPublicationYear "2019" @default.
- W3006069760 type Work @default.
- W3006069760 sameAs 3006069760 @default.
- W3006069760 citedByCount "14" @default.
- W3006069760 countsByYear W30060697602020 @default.
- W3006069760 countsByYear W30060697602021 @default.
- W3006069760 countsByYear W30060697602022 @default.
- W3006069760 countsByYear W30060697602023 @default.
- W3006069760 crossrefType "proceedings-article" @default.
- W3006069760 hasAuthorship W3006069760A5012121355 @default.
- W3006069760 hasAuthorship W3006069760A5050613147 @default.
- W3006069760 hasAuthorship W3006069760A5062716361 @default.
- W3006069760 hasConcept C108583219 @default.
- W3006069760 hasConcept C116834253 @default.
- W3006069760 hasConcept C119857082 @default.
- W3006069760 hasConcept C127413603 @default.
- W3006069760 hasConcept C146978453 @default.
- W3006069760 hasConcept C151800584 @default.
- W3006069760 hasConcept C153180895 @default.
- W3006069760 hasConcept C154504017 @default.
- W3006069760 hasConcept C154945302 @default.
- W3006069760 hasConcept C184297639 @default.
- W3006069760 hasConcept C199360897 @default.
- W3006069760 hasConcept C201995342 @default.
- W3006069760 hasConcept C204323151 @default.
- W3006069760 hasConcept C2780451532 @default.
- W3006069760 hasConcept C41008148 @default.
- W3006069760 hasConcept C50644808 @default.
- W3006069760 hasConcept C52622490 @default.
- W3006069760 hasConcept C59822182 @default.
- W3006069760 hasConcept C71924100 @default.
- W3006069760 hasConcept C81363708 @default.
- W3006069760 hasConcept C86803240 @default.
- W3006069760 hasConcept C99508421 @default.
- W3006069760 hasConceptScore W3006069760C108583219 @default.
- W3006069760 hasConceptScore W3006069760C116834253 @default.
- W3006069760 hasConceptScore W3006069760C119857082 @default.
- W3006069760 hasConceptScore W3006069760C127413603 @default.
- W3006069760 hasConceptScore W3006069760C146978453 @default.
- W3006069760 hasConceptScore W3006069760C151800584 @default.
- W3006069760 hasConceptScore W3006069760C153180895 @default.
- W3006069760 hasConceptScore W3006069760C154504017 @default.
- W3006069760 hasConceptScore W3006069760C154945302 @default.
- W3006069760 hasConceptScore W3006069760C184297639 @default.
- W3006069760 hasConceptScore W3006069760C199360897 @default.
- W3006069760 hasConceptScore W3006069760C201995342 @default.
- W3006069760 hasConceptScore W3006069760C204323151 @default.
- W3006069760 hasConceptScore W3006069760C2780451532 @default.
- W3006069760 hasConceptScore W3006069760C41008148 @default.
- W3006069760 hasConceptScore W3006069760C50644808 @default.
- W3006069760 hasConceptScore W3006069760C52622490 @default.
- W3006069760 hasConceptScore W3006069760C59822182 @default.
- W3006069760 hasConceptScore W3006069760C71924100 @default.
- W3006069760 hasConceptScore W3006069760C81363708 @default.
- W3006069760 hasConceptScore W3006069760C86803240 @default.
- W3006069760 hasConceptScore W3006069760C99508421 @default.
- W3006069760 hasLocation W30060697601 @default.
- W3006069760 hasOpenAccess W3006069760 @default.
- W3006069760 hasPrimaryLocation W30060697601 @default.
- W3006069760 hasRelatedWork W2149037710 @default.
- W3006069760 hasRelatedWork W2279398222 @default.
- W3006069760 hasRelatedWork W2731899572 @default.
- W3006069760 hasRelatedWork W2946016983 @default.
- W3006069760 hasRelatedWork W3156786002 @default.
- W3006069760 hasRelatedWork W3159181387 @default.
- W3006069760 hasRelatedWork W4299822940 @default.