3-d human action recognition by shape analysis of motion trajectories on riemannian manifold

M Devanne, H Wannous, S Berretti… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Recognizing human actions in 3-D video sequences is an important open problem that is
currently at the heart of many research domains including surveillance, natural interfaces …

3d hand gesture recognition by analysing set-of-joints trajectories

Q De Smedt, H Wannous, JP Vandeborre - … Human Activities Through 3D …, 2018 - Springer
Hand gesture recognition is recently becoming one of the most attractive field of research in
Pattern Recognition. In this paper, a skeleton-based approach is proposed for 3D hand …

Human action recognition using 3d reconstruction data

GT Papadopoulos, P Daras - … on Circuits and Systems for Video …, 2016 - ieeexplore.ieee.org
In this paper, the problem of human action recognition using 3D reconstruction data is
deeply investigated. 3D reconstruction techniques are employed for addressing two of the …

Incorporating motion analysis technology into modular arrangement of predetermined time standard (MODAPTS)

S Wu, Y Wang, JZ BolaBola, H Qin, W Ding… - International Journal of …, 2016 - Elsevier
Implementing new strategies to achieve higher work efficiency is essential to improve
productivity during a monotonous and exhausting work task. The Modular Arrangement of …

3d shape sequence of human comparison and classification using current and varifolds

E Pierson, M Daoudi, S Arguillere - European Conference on Computer …, 2022 - Springer
In this paper we address the task of the comparison and the classification of 3D shape
sequences of human. The non-linear dynamics of the human motion and the changing of the …

Towards key-frame extraction methods for 3D video: a review

L Ferreira, LA da Silva Cruz, P Assuncao - EURASIP Journal on Image and …, 2016 - Springer
The increasing rate of creation and use of 3D video content leads to a pressing need for
methods capable of lowering the cost of 3D video searching, browsing and indexing …

Eye-gaze estimation using a deep capsule-based regression network

V Bernard, H Wannous… - … conference on content …, 2021 - ieeexplore.ieee.org
Eye-gaze information is used in a variety of user platforms, such as driver monitoring
systems and head-mounted interfaces. In order to estimate human eye-gaze, many solutions …

Sports motion recognition using MCMR features based on interclass symbolic distance

Y Wei, L Jiao, S Wang, R Bie… - International Journal of …, 2016 - journals.sagepub.com
Human motion and gesture recognition receive much concern in sports field, such as
physical education and fitness for all. Although plenty of mature applications appear in …

Continuous Hand Gesture Recognition using Deep Coarse and Fine Hand Features

H Wannous, JP Vandeborre - The 33rd British Machine Vision …, 2022 - hal.science
Using hand gestures as a HCI modality introduces intuitive and easy-to-use interfaces for a
wide range of applications. However, the hand is an object with a high number of degrees of …

Unsupervised human action retrieval using salient points in 3D mesh sequences

C Veinidis, I Pratikakis, T Theoharis - Multimedia Tools and Applications, 2019 - Springer
The problem of human action retrieval based on the representation of the human body as a
3D mesh is addressed. The proposed 3D mesh sequence descriptor is based on a set of …