Journal ArticleDOI
Gait based authentication using gait information image features
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TLDR
This paper presents gait image features based on the information set theory, henceforth these are called gait information image features, and demonstrates the robustness of the proposed features.About:
This article is published in Pattern Recognition Letters.The article was published on 2015-12-15. It has received 60 citations till now. The article focuses on the topics: Gait (human) & Feature (computer vision).read more
Citations
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Journal ArticleDOI
Vision-Based Gait Recognition: A Survey
TL;DR: This paper describes measuring metrics that can be used to measure the performance of gait recognition model under verification and identification mode and identifies the future perspectives in gait recognized and also outlines the proposed work.
Journal ArticleDOI
Robust gait recognition: a comprehensive survey
TL;DR: A comprehensive overview of existing robust gait recognition methods is provided to provide researchers with state of the art approaches in order to help advance the research topic through an understanding of basic taxonomies, comparisons, and summaries of the state-of-the-art performances on several widely used gait Recognition datasets.
Journal ArticleDOI
A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition
Habiba Arshad,Muhammad Attique Khan,Muhammad Irfan Sharif,Mussarat Yasmin,João Manuel R. S. Tavares,Yudong Zhang,Suresh Chandra Satapathy +6 more
TL;DR: An integrated framework is proposed for HGR using deep neural network and Fuzzy Entropy controlled Skewness (FEcS) approach and the obtained overall recognition results lead to conclude that the proposed system is very promising.
Journal ArticleDOI
Multi-level features fusion and selection for human gait recognition: an optimized framework of Bayesian model and binomial distribution
TL;DR: A new approach for HGR is proposed which is based on Quartile Deviation of Normal Distribution (QDoND) for human extraction and Bayesian model along with Binomial Distribution for features fusion and best features selection and the results reveal that the proposed method outperforms in contrast to existing methods.
Journal ArticleDOI
Covariate Conscious Approach for Gait Recognition Based Upon Zernike Moment Invariants
TL;DR: Wang et al. as mentioned in this paper proposed a covariate cognizant framework to deal with the presence of such covariates by forming a single 2D spatio-temporal template from video sequence, called average energy silhouette image (AESI).
References
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Book
The Mathematical Theory of Communication
TL;DR: The Mathematical Theory of Communication (MTOC) as discussed by the authors was originally published as a paper on communication theory more than fifty years ago and has since gone through four hardcover and sixteen paperback printings.
Journal ArticleDOI
Individual recognition using gait energy image
TL;DR: Experimental results show that the proposed GEI is an effective and efficient gait representation for individual recognition, and the proposed approach achieves highly competitive performance with respect to the published gait recognition approaches.
Journal ArticleDOI
Silhouette analysis-based gait recognition for human identification
TL;DR: A simple but efficient gait recognition algorithm using spatial-temporal silhouette analysis is proposed that implicitly captures the structural and transitional characteristics of gait.
Journal ArticleDOI
The humanID gait challenge problem: data sets, performance, and analysis
TL;DR: The humanlD gait challenge problem is introduced, to provide a means for measuring progress and characterizing the properties of gait recognition, and represents a radical departure from traditional computer vision research methodology.
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