Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Bassem Seddik"'
Publikováno v:
IET Computer Vision, Vol 11, Iss 7, Pp 530-540 (2017)
This study addresses the problem of efficiently combining the joint, RGB and depth modalities of the Kinect sensor in order to recognise human actions. For this purpose, a multi‐layered fusion scheme concatenates different specific features, builds
Externí odkaz:
https://doaj.org/article/17eece5ff29a481a9dc1444d4a2c46db
Publikováno v:
Advanced Methods for Human Biometrics ISBN: 9783030819811
Sign language visual recognition from continuous multi-modal streams is still one of the most challenging fields. Recent advances in human actions recognition are exploiting the ascension of GPU-based learning from massive data, and are getting close
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::040f23aad35a49b6797b5361361c132c
https://doi.org/10.1007/978-3-030-81982-8_9
https://doi.org/10.1007/978-3-030-81982-8_9
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319598758
ICIAR
ICIAR
We introduce in this paper a hybrid fusion approach allowing the efficient combination of the Kinect modalities within the feature, representation and decision levels. Our contributions are three-fold: (i) We propose an efficient concatenation of com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a9e2ffe1f5adc6ccf5ca406ebf7c29b
https://doi.org/10.1007/978-3-319-59876-5_23
https://doi.org/10.1007/978-3-319-59876-5_23
Publikováno v:
EUSIPCO
We present in this paper a new approach for human-action extraction and recognition in a multi-modal context. Our solution contains two modules. The first one applies temporal action segmentation by combining a heuristic analysis with augmented-joint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44850d8128de6996a7141b5c35bf8217
https://doi.org/10.1109/eusipco.2015.7362562
https://doi.org/10.1109/eusipco.2015.7362562
Publikováno v:
Image Processing Theory, Tools and Applications (IPTA), 2015 International Conference on
Image Processing Theory, Tools and Applications (IPTA), 2015 International Conference on, 2015, Unknown, Unknown Region. pp.355--359
IPTA
Image Processing Theory, Tools and Applications (IPTA), 2015 International Conference on, 2015, Unknown, Unknown Region. pp.355--359
IPTA
We introduce a new video contents description approach and use it for the purpose of coarse localization. It is based on a Bag of Words representation combining both space-time STIP features and semantic-context SSC features. We assume that adding se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feeda2b88c89ea35f514e0f3a5d10da8
https://hal.archives-ouvertes.fr/hal-01295990
https://hal.archives-ouvertes.fr/hal-01295990
Publikováno v:
IEEE IPAS'14: International Image Processing Applications and Systems Conference
IEEE IPAS'14: International Image Processing Applications and Systems Conference, 2014, Hammamet, Tunisia
IEEE IPAS'14: International Image Processing Applications and Systems Conference, 2014, Hammamet, Tunisia
We present in this paper a novel solution for temporal segmentation of human gestures that takes advantage of the skeletal-joints streams offered by the Kinect sensor. Our contribution consist in introducing an improved skeletal representation and it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6a69601fb149d7e968785aa8cde4ce2
https://hal.archives-ouvertes.fr/hal-01295859
https://hal.archives-ouvertes.fr/hal-01295859