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 …
A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition
Human gait recognition (HGR) shows high importance in the area of video surveillance due
to remote access and security threats. HGR is a technique commonly used for the …
to remote access and security threats. HGR is a technique commonly used for the …
Automatic learning of gait signatures for people identification
This work targets people identification in video based on the way they walk (ie gait). While
classical methods typically derive gait signatures from sequences of binary silhouettes, in …
classical methods typically derive gait signatures from sequences of binary silhouettes, in …
An end-to-end multi-task and fusion CNN for inertial-based gait recognition
People identification using gait information (ie, the way a person walks) obtained from
inertial sensors is a robust approach that can be used in multiple situations where vision …
inertial sensors is a robust approach that can be used in multiple situations where vision …
Multi-level features fusion and selection for human gait recognition: an optimized framework of Bayesian model and binomial distribution
A biometric classification system is utilized to judge the features of human expression by
recognizing distinct parameters. Human Gait Recognition (HGR) is a current research area …
recognizing distinct parameters. Human Gait Recognition (HGR) is a current research area …
A comprehensive study on codebook-based feature fusion for gait recognition
Vision-based person identification using gait is one of the important and challenging tasks in
the fields of computer vision and machine learning. It has received significant research …
the fields of computer vision and machine learning. It has received significant research …
A non-linear view transformations model for cross-view gait recognition
Gait has emerged as an important biometric feature which is capable of identifying
individuals at distance without requiring any interaction with the system. Various factors such …
individuals at distance without requiring any interaction with the system. Various factors such …
Distilled light gaitset: Towards scalable gait recognition
Gait recognition has made significant progress recently. However, most of existing methods
utilize complicated neural networks, which lead to high computation cost. In this paper, a …
utilize complicated neural networks, which lead to high computation cost. In this paper, a …
Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
A Al-Tayyan, K Assaleh, T Shanableh - Image and Vision Computing, 2017 - Elsevier
Gait recognition is one of the latest and attractive biometric techniques, due to its potential in
identification of individuals at a distance, unobtrusively and even using low resolution …
identification of individuals at a distance, unobtrusively and even using low resolution …
Does my gait look nice? human perception-based gait relative attribute estimation using dense trajectory analysis
A Shehata, Y Hayashi, Y Makihara… - Pattern Recognition: 5th …, 2020 - Springer
Relative attributes play an important role in object recognition and image classification tasks.
These attributes provide high-level semantic explanations for describing and relating objects …
These attributes provide high-level semantic explanations for describing and relating objects …