Vision-based approaches towards person identification using gait
Visual surveillance has exponentially increased the growth of security devices and systems
in the digital era. Gait-based person identification is an emerging biometric modality for …
in the digital era. Gait-based person identification is an emerging biometric modality for …
Gait recognition for person re-identification
Person re-identification across multiple cameras is an essential task in computer vision
applications, particularly tracking the same person in different scenes. Gait recognition …
applications, particularly tracking the same person in different scenes. Gait recognition …
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 …
A survey of behavioral biometric gait recognition: Current success and future perspectives
In today digital society, vulnerability to person authentication is a serious issue in real time
scenarios like (airport, hospital, metro stations, etc.). This issue has increased the growth of …
scenarios like (airport, hospital, metro stations, etc.). This issue has increased the growth of …
Human gait recognition based on frontal-view sequences using gait dynamics and deep learning
M Deng, Z Fan, P Lin, X Feng - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To facilitate human gait recognition, this paper proposes a new frontal-view gait recognition
method using gait dynamics and deep learning. Rather than adopting lateral-view …
method using gait dynamics and deep learning. Rather than adopting lateral-view …
Human gait recognition based on deterministic learning through multiple views fusion
M Deng, C Wang, Q Chen - Pattern recognition letters, 2016 - Elsevier
Gait characteristics extracted from one single camera are limited and not comprehensive
enough to develop a robust recognition system. This paper proposes a robust gait …
enough to develop a robust recognition system. This paper proposes a robust gait …
Walking Speed Classification from Marker-Free Video Images in Two-Dimension Using Optimum Data and a Deep Learning Method
Walking speed is considered a reliable assessment tool for any movement-related functional
activities of an individual (ie, patients and healthy controls) by caregivers and clinicians …
activities of an individual (ie, patients and healthy controls) by caregivers and clinicians …
Spline magnitude disparity cross correlated deep network for gait recognition
Gait recognition stands as a pivotal biometric technology in individual identification, yet its
real-world implementation faces challenges stemming from intra-subject disparities. The …
real-world implementation faces challenges stemming from intra-subject disparities. The …
Improved model-free gait recognition based on human body part
Gait recognition aims to identify people through the analysis of the way they walk. The
challenge of model-free based gait recognition is to cope with various intra-class variations …
challenge of model-free based gait recognition is to cope with various intra-class variations …
Using a deep learning method and data from two-dimensional (2D) marker-less video-based images for walking speed classification
Human body measurement data related to walking can characterize functional movement
and thereby become an important tool for health assessment. Single-camera-captured two …
and thereby become an important tool for health assessment. Single-camera-captured two …