Robust gait recognition: a comprehensive survey
Gait recognition has emerged as an attractive biometric technology for the identification of
people by analysing the way they walk. However, one of the main challenges of the …
people by analysing the way they walk. However, one of the main challenges of the …
Pattern mining approaches used in sensor-based biometric recognition: a review
Sensing technologies place significant interest in the use of biometrics for the recognition
and assessment of individuals. Pattern mining techniques have established a critical step in …
and assessment of individuals. Pattern mining techniques have established a critical step in …
Biometric recognition by gait: A survey of modalities and features
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 …
dramatically over the past 15 years. A number of sensing modalities including those based …
Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches
The study of gait recognition, a biometric application that identifies individuals based on their
unique walking patterns, is an evolving field. In this paper, we conduct a literature review to …
unique walking patterns, is an evolving field. In this paper, we conduct a literature review to …
Motion history image: its variants and applications
MAR Ahad, JK Tan, H Kim, S Ishikawa - Machine Vision and Applications, 2012 - Springer
The motion history image (MHI) approach is a view-based temporal template method which
is simple but robust in representing movements and is widely employed by various research …
is simple but robust in representing movements and is widely employed by various research …
Semi-supervised coupled dictionary learning for person re-identification
The desirability of being able to search for specific persons in surveillance videos captured
by different cameras has increasingly motivated interest in the problem of person re …
by different cameras has increasingly motivated interest in the problem of person re …
Self-calibrating view-invariant gait biometrics
We present a new method for viewpoint independent gait biometrics. The system relies on a
single camera, does not require camera calibration, and works with a wide range of camera …
single camera, does not require camera calibration, and works with a wide range of camera …
Human body part selection by group lasso of motion for model-free gait recognition
Gait recognition is an emerging biometric technology that identifies people through the
analysis of the way they walk. The challenge of model-free based gait recognition is to cope …
analysis of the way they walk. The challenge of model-free based gait recognition is to cope …
Gait-based human age estimation
We investigate in this paper the problem of estimating human ages from gait signatures. To
our knowledge, this problem has not been formally addressed in the literature. Estimating …
our knowledge, this problem has not been formally addressed in the literature. Estimating …
Comparison of wrapper and filter feature selection algorithms on human activity recognition
Feature selection is an increasingly important part of machine learning. The purpose of
feature selection is dimension reduction in a large multi-dimensional data set and it can be …
feature selection is dimension reduction in a large multi-dimensional data set and it can be …