Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Automatic Gender Recognition (AGR) is a subfield of facial recognition that aims to
algorithmically identify the gender of individuals from photographs or videos. In wider society …

Driven by key law enforcement and commercial applications, research on face recognition
from video sources has intensified in recent years. The ensuing results have demonstrated …

Human faces in surveillance videos often suffer from severe image blur, dramatic pose
variations, and occlusion. In this paper, we propose a comprehensive framework based on …

Gender recognition is one of fundamental face analysis tasks. Most of the existing studies
have focused on face images acquired under controlled conditions. However, real-world …

Abstract Pedestrian Attribute Recognition (PAR) is an important task in computer vision
community and plays an important role in practical video surveillance. The goal of this paper …

Facial expression is an important channel for human communication and can be applied in
many real applications. One critical step for facial expression recognition (FER) is to …

Gesture recognition is a hot topic in computer vision and pattern recognition, which plays a
vitally important role in natural human-computer interface. Although great progress has been …

Pose-invariant face recognition (PIFR) refers to the ability that recognizes face images with
arbitrary pose variations. Among existing PIFR algorithms, pose normalization has been …

Local Binary Pattern (LBP) is a simple yet very efficient texture operator which labels the
pixels of an image by thresholding the neighborhood of each pixel and considers the result …