Robust gait recognition: a comprehensive survey

I Rida, N Almaadeed, S Almaadeed - IET Biometrics, 2019 - Wiley Online Library
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 …

Fusion of band limited phase only correlation and width centroid contour distance for finger based biometrics

MSM Asaari, SA Suandi, BA Rosdi - Expert Systems with Applications, 2014 - Elsevier
In this paper, a new approach of multimodal finger biometrics based on the fusion of finger
vein and finger geometry recognition is presented. In the proposed method, Band Limited …

Class energy image analysis for video sensor-based gait recognition: A review

Z Lv, X Xing, K Wang, D Guan - Sensors, 2015 - mdpi.com
Gait is a unique perceptible biometric feature at larger distances, and the gait representation
approach plays a key role in a video sensor-based gait recognition system. Class Energy …

[HTML][HTML] A vision based proposal for classification of normal and abnormal gait using RGB camera

M Nieto-Hidalgo, FJ Ferrández-Pastor… - Journal of biomedical …, 2016 - Elsevier
Human gait is mainly related to the foot and leg movements but, obviously, the entire motor
system of the human body is involved. We hypothesise that movement parameters such as …

Fusion of spatial-temporal and kinematic features for gait recognition with deterministic learning

M Deng, C Wang, F Cheng, W Zeng - Pattern Recognition, 2017 - Elsevier
For obtaining optimal performance, as many informative cues as possible should be
involved in the gait recognition algorithm. This paper describes a gait recognition algorithm …

Robust view-invariant multiscale gait recognition

SD Choudhury, T Tjahjadi - Pattern Recognition, 2015 - Elsevier
The paper proposes a two-phase view-invariant multiscale gait recognition method (VI-
MGR) which is robust to variation in clothing and presence of a carried item. In phase 1, VI …

Gait recognition based on capsule network

Z Xu, W Lu, Q Zhang, Y Yeung, X Chen - Journal of Visual Communication …, 2019 - Elsevier
Gait as a biometric feature is widely used for human identification, and gait recognition has
recently become a significant research problem. According to a small amount of labeled …

Multi-attributes gait identification by convolutional neural networks

C Yan, B Zhang, F Coenen - 2015 8th international congress on …, 2015 - ieeexplore.ieee.org
Gait as a biometric feature that can be measured remotely without physical contact and
proximal sensing has attract significant attention. This paper proposes to use con-volutional …

Invariant multi-scale descriptor for shape representation, matching and retrieval

J Yang, H Wang, J Yuan, Y Li, J Liu - Computer Vision and Image …, 2016 - Elsevier
Shape matching and retrieval have been some of the fundamental topics in computer vision.
Object shape is a meaningful and informative cue in object recognition, where an effective …

Robust arbitrary view gait recognition based on parametric 3D human body reconstruction and virtual posture synthesis

J Luo, J Tang, T Tjahjadi, X Xiao - Pattern Recognition, 2016 - Elsevier
This paper proposes an arbitrary view gait recognition method where the gait recognition is
performed in 3-dimensional (3D) to be robust to variation in speed, inclined plane and …