Pedestrians' gender is a soft attribute which is useful in many areas of computer vision
including human robot interaction, intelligent surveillance and human behavior analysis …

Pedestrian gender classification is one of the key assignments of pedestrian study, and it
finds practical applications in content-based image retrieval, population statistics, human …

Pedestrian gender recognition is a very challenging problem, since the viewpoint variations,
illumination changes, occlusion, and poor quality are usually encountered in the pedestrian …

Human gender recognition is an essential demographic tool. This is reflected in forensic
science, surveillance systems and targeted marketing applications. This research was …

Human gender is deemed as a prime demographic trait due to its various usage in the
practical domain. Human gender classification in an unconstrained environment is a …

Purpose: This study aims to proof the necessity and capabilities of proposed our novel
hybrid deep learning approach for gender recognition using human ear images. The study …

For the past few years, gender classification has been an active area of study and
researchers have been putting a lot of effort to contribute quality research in this area. There …

Recently, pedestrian attributes like gender, age, clothing etc., have been used as soft
biometric traits for recognizing people. Unlike existing methods that assume the …

People gender and activities recognition are becoming a hot topic in our daily applications
through gait information. The very well-known applications are safety-health, security …

This paper presents an approach for gender recognition in smartphones using touchscreen
gestures performed by the user. The primary behavioral data comprising readings from the …