Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …

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 …

Recent breakthroughs in recurrent deep neural networks with long short-term memory
(LSTM) units have led to major advances in artificial intelligence. However, state-of-the-art …

The scientific literature on automated gait analysis for human recognition has grown
dramatically over the past 15 years. A number of sensing modalities including those based …

In this paper, we propose a new spatio-temporal gait representation, called Gait Energy
Image (GEI), to characterize human walking properties for individual recognition by gait. To …

Human identification at a distance has recently gained growing interest from computer vision
researchers. Gait recognition aims essentially to address this problem by identifying people …

Identification of people by analysis of gait patterns extracted from video has recently become
a popular research problem. However, the conditions under which the problem is" solvable" …

Starting with fingerprints more than a hundred years ago, there has been ongoing research
in biometrics. Within the last forty years face and speaker recognition have emerged as …

We propose a view-based approach to recognize humans from their gait. Two different
image features have been considered: the width of the outer contour of the binarized …

Something fundamental to computation-based research has really changed in the last ten
years. In certain fields, progress is simply dramatically more rapid than previously …