Human‐action recognition using a multi‐layered fusion scheme of Kinect modalities

Autor: Bassem Seddik, Sami Gazzah, Najoua Essoukri Ben Amara

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

Tracklet style transfer and part-level feature description for person reidentification in a camera network

Autor: Najoua Essoukri Ben Amara, Yosra Dorai, Sami Gazzah, Frédéric Chausse

Publikováno v: Pattern Analysis and Applications. 24:875-886

Reidentifying multiple objects in a camera network are a difficult problem, especially when determining whether the same object appears in a different place at a different time, captured by another camera. In this paper, we propose a novel tracklet-b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3ba60432c4bbb429fe77c828116e47f8
https://doi.org/10.1007/s10044-021-00990-0

An Embedded Computer-Vision System for Multi-Object Detection in Traffic Surveillance

Autor: Thierry Chateau, Ala Mhalla, Najoua Essoukri Ben Amara, Sami Gazzah

Publikováno v: IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems, IEEE, 2018, pp.1-13. ⟨10.1109/TITS.2018.2876614⟩

Intelligent traffic systems for traffic surveillance and monitoring have become a topic of great interest to some cities in the world. Generally, the existing traffic surveillance systems are made up of costly equipment with complicated operational p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2618bfe0a3852ff683f74760cc5d8671
https://hal.archives-ouvertes.fr/hal-02077654

Human posture recognition approach based on ConvNets and SVM classifier

Autor: Najoua Essoukri Ben Amara, Sameh Neili, Mounim A. El Yacoubi, Sami Gazzah

Publikováno v: Proceedings ATSIP 2017 : 3rd international conference on Advanced Technologies for Signal and Image Processing
ATSIP 2017 : 3rd international conference on Advanced Technologies for Signal and Image Processing
ATSIP 2017 : 3rd international conference on Advanced Technologies for Signal and Image Processing, May 2017, Fez, Morocco. pp.1-6, ⟨10.1109/ATSIP.2017.8075518⟩
ATSIP

International audience; The aim of active and assisted living (AAL) is to develop tools to assist the elderly people in the ageing status. Human posture recognition algorithms can help monitor aged people in home environments. Different types of sens

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43160811b3d44ebf46d642b5c8a3127d
https://hal.archives-ouvertes.fr/hal-01682648

Hybrid Multi-modal Fusion for Human Action Recognition

Autor: Najoua Essoukri Ben Amara, Bassem Seddik, Sami Gazzah

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319598758
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