Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …

Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of
providing useful information for multiple health-related applications. As a clinical tool applied …

This paper introduces a multilinear principal component analysis (MPCA) framework for
tensor object feature extraction. Objects of interest in many computer vision and pattern …

Pedestrian re-identification is a difficult problem due to the large variations in a person's
appearance caused by different poses and viewpoints, illumination changes, and …

Privacy is one of the most important social and political issues in our information society,
characterized by a growing range of enabling and supporting technologies and services …

Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …

We present FootprintID, an indoor pedestrian identification system that utilizes footstep-
induced structural vibration to infer pedestrian identities for enabling various smart building …

The purpose of this book is to provide a practical introduction to the th-ries, techniques and
applications of image fusion. The present work has been designed as a textbook for a one …

This paper presents a biometric user authentication based on a person's gait. Unlike most
previous gait recognition approaches, which are based on machine vision techniques, in our …

Many biometric authentication techniques have been defined over the years; of these
techniques, Human Gait recognition has gathered popularity over the years due to its ability …