In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …

In the digital world of today, global security issues have given rise to video surveillance
devices. Gait-based human recognition is an emerging behavioral biometric trait for …

This paper describes the world's largest gait database with wide view variation, the “OU-ISIR
gait database, multi-view large population dataset (OU-MVLP)”, and its application to a …

Gait recognition is of great importance in the fields of surveillance and forensics to identify
human beings since gait is the unique biometric feature that can be perceived efficiently at a …

Convolutional neural networks (CNNs) can be remarkably effective for recognizing two-
dimensional and three-dimensional (3-D) actions. To further explore the potential of CNNs …

Human footsteps can provide a unique behavioural pattern for robust biometric systems. We
propose spatio-temporal footstep representations from floor-only sensor data in advanced …

Evolutionary decision fusion has applications in biometric authentication and verification.
Gray wolf optimizer (GWO) is one such evolutionary decision fusion approach that can be …

Gait recognition is a popular remote biometric identification technology. Its robustness
against view variation is one of the challenges in the field of gait recognition. In this paper …

The integration of the latest breakthroughs in bioinformatics technology from one side and
artificial intelligence from another side, enables remarkable advances in the fields of …

In this paper, we describe the world's largest gait database with real-life carried objects
(COs), which has been made publicly available for research purposes, and its application to …