21 citations · 21 across the 1 of their papers we have counts for
5 papers
Multilinear subspace learning for person re-identification based fusion of high order tensor features
Ammar Chouchane, Mohcene Bessaoudi, Hamza Kheddar +3
Video surveillance image analysis and processing is a challenging field in computer vision, with one of its most difficult tasks being Person Re-Identification (PRe-ID). PRe-ID aim…
A Powerful Face Preprocessing For Robust Kinship Verification based Tensor Analyses
Ammar chouchane, Mohcene Bessaoudi, Abdelmalik Ouamane
Kinship verification using facial photographs captured in the wild is difficult area of research in the science of computer vision. It might be used for a variety of applications,…
Enhancing Person Re-Identification through Tensor Feature Fusion
Akram Abderraouf Gharbi, Ammar Chouchane, Mohcene Bessaoudi +2
In this paper, we present a novel person reidentification (PRe-ID) system that based on tensor feature representation and multilinear subspace learning. Our approach utilizes pretr…
Fusion of Deep and Shallow Features for Face Kinship Verification
Belabbaci El Ouanas, Khammari Mohammed, Chouchane Ammar +3
Kinship verification from face images is a novel and formidable challenge in the realms of pattern recognition and computer vision. This work makes notable contributions by incorpo…
Enhancing Kinship Verification through Multiscale Retinex and Combined Deep-Shallow features
El Ouanas Belabbaci, Mohammed Khammari, Ammar Chouchane +5
The challenge of kinship verification from facial images represents a cutting-edge and formidable frontier in the realms of pattern recognition and computer vision. This area of st…