A5025108500- Face recognition and analysis
- Face and Expression Recognition
- Biometric Identification and Security
- Video Surveillance and Tracking Methods
- Gait Recognition and Analysis
- Speech and Audio Processing
- Human Pose and Action Recognition
- Full-Duplex Wireless Communications
- Generative Adversarial Networks and Image Synthesis
- Context-Aware Activity Recognition Systems
- Advanced Image and Video Retrieval Techniques
- Cooperative Communication and Network Coding
- Non-Invasive Vital Sign Monitoring
- Wireless Signal Modulation Classification
- Advanced Wireless Communication Technologies
- Advanced Wireless Communication Techniques
- Digital Media Forensic Detection
- Advanced MIMO Systems Optimization
- Hand Gesture Recognition Systems
- Evolutionary Psychology and Human Behavior
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Robotics and Automated Systems
- Machine Learning and ELM
- Humor Studies and Applications
University of Boumerdes
2022-2024
Centre de Développement des Technologies Avancées
2012-2022
University of Oulu
2015-2019
École Nationale Supérieure d'Informatique
2015-2016
ASM International
2012
This paper evaluates the performance of twelve primary systems submitted to evaluation on speaker verification in context a mobile environment using MOBIO database. The provides challenging and realistic test-bed for current state-of-the-art techniques. Results terms equal error rate (EER), half total (HTER) detection trade-off (DET) confirm that best performing are based variability modeling, fusion several sub-systems. Nevertheless, good old UBM-GMM still competitive. results also show use...
We propose a novel approach for face verification by encoding 2D and 3D images as high order tensor. To perform tensor dimensionality reduction both the unsupervised supervised cases, we multilinear whitened principal component analysis (MWPCA) exponential discriminant (TEDA), respectively. MWPCA is utilized to solve small sample size problem in high-dimensional space improve discrimination power achieved classical MPCA. In case, extend TEDA emphasize data included null of within-class...
Automatically recognizing pain from spontaneous facial expression is of increased attention, since it can provide for a direct and relatively objective indication to experience. Until now, most the existing works have focused on analyzing individual images or video-frames, hence discarding spatio-temporal information that be useful in continuous assessment pain. In this context, paper investigates quantifies first time role by comparing performance several baseline local descriptors used...
Automatic kinship verification from faces aims to determine whether two persons have a biological kin relation or not by comparing their facial attributes. This is challenging research problem that has recently received lots of attention the community. However, most proposed methods mainly focused on analyzing only luminance (i.e. gray-scale) face images, hence discarding chrominance color) information which can be useful additional cue for verifying relationships. paper investigates first...
Automatic face recognition in unconstrained environments is a challenging task. To test current trends algorithms, we organized an evaluation on mobile environment. This paper presents the results of 8 different participants using two verification metrics. Most submitted algorithms rely one or more three types features: local binary patterns, Gabor wavelet responses including phases, and color information. The best are obtained from UNILJ-ALP, which fused several image representations...
Cognitive radio (CR) is a game-changing technology that allows devices to adjust transmission and/or reception parameters in real time, improving wireless communication efficiency. Digital modulation identification (DMI) plays crucial role CR, communications, and spectrum management, providing adaptive efficient signal processing. In this paper, we introduce DMI approach designed for spatial (SM) within the context of multiple input output (MIMO) technologies. study, use higher order...
Automatic kinship verification from face images aims at verifying whether two persons have a kin relation or not by only comparing their visual facial similarities. This is an emerging topic in analysis and computer vision. useful many applications such as finding missing children, image annotation, social media analysis. In the recent years, there has been lot of efforts developing methods to cope with this challenging but important research problem. paper introduces topic, discusses...
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Kinship verification from faces is a challenging task that attracting an increasing attention in the recent years. The proposed methods so far are not robust enough to predict kin between persons via facial appearance only. initial studies using deep convolutional neural networks (CNN) have shown their full potential as well, mainly due limited training data. To mitigate this problem, we propose new approach kinship based on color features and extreme learning machines (ELM). While ELM aims...
Cognitive radio (CR) technology offers the ability to adapt transmission or reception parameters, thus efficiently improving wireless spectrum resources utilization. As one of important components CR, automatic modulation recognition (AMR) aims improve overall communication performance besides promoting efficient and secure transmissions. In this paper, we tackle semi blind problem in a distributed space-time block coding (D-STBC) scheme for cooperative relaying network three nodes,...
Space-time encoded communications aim at improving the quality and reliability of a wireless high-data rate link by exploiting both temporal spatial signal dimensions. However, these techniques are impeded typically low profile requirement terminals, making impractical deployment multiple antennas, more particularly relay side. In this paper, we propose new simplified distributed space-time block Coding (D-STBC) scheme in which STBC code is artificially generated relying on three...