Journal ArticleDOI
Gait recognition using linear time normalization
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TLDR
A novel system for gait recognition and verification based on the matching of linearly time-normalized gait walking cycles and a novel feature extraction process for the transformation of human silhouettes into low-dimensional feature vectors consisting of average pixel distances from the center of the silhouette are presented.About:
This article is published in Pattern Recognition.The article was published on 2006-05-01. It has received 89 citations till now. The article focuses on the topics: Feature (machine learning) & Feature extraction.read more
Citations
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Journal ArticleDOI
MPCA: Multilinear Principal Component Analysis of Tensor Objects
TL;DR: It is shown that even without a fully optimized design, an MPCA-based gait recognition module achieves highly competitive performance and compares favorably to the state-of-the-art gait recognizers.
Journal ArticleDOI
Gait Recognition Using Radon Transform and Linear Discriminant Analysis
Nikolaos V. Boulgouris,Z W X Chi +1 more
TL;DR: A new feature extraction process is proposed for gait representation and recognition based on the Radon transform of binary silhouettes, using a low-dimensional feature vector consisting of selected Radon template coefficients for each gait sequence.
Proceedings ArticleDOI
Gait energy volumes and frontal gait recognition using depth images
TL;DR: This paper extends the concept of the GEI to 3D, to create what it is called the gait energy volume, or GEV, and demonstrates the efficacy of this approach on partial volume reconstructions created from frontal depth images.
Journal ArticleDOI
Gait Recognition Using Compact Feature Extraction Transforms and Depth Information
Dimosthenis Ioannidis,Dimitrios Tzovaras,I.G. Damousis,Savvas Argyropoulos,Konstantinos Moustakas +4 more
TL;DR: This paper proposes an innovative gait identification and authentication method based on the use of novel 2-D and 3-D features using the generalized radon transform, namely the radial integration transform and the circular integration transform.
References
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Journal ArticleDOI
A tutorial on hidden Markov models and selected applications in speech recognition
TL;DR: In this paper, the authors provide an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and give practical details on methods of implementation of the theory along with a description of selected applications of HMMs to distinct problems in speech recognition.
Journal ArticleDOI
Dynamic programming algorithm optimization for spoken word recognition
TL;DR: This paper reports on an optimum dynamic progxamming (DP) based time-normalization algorithm for spoken word recognition, in which the warping function slope is restricted so as to improve discrimination between words in different categories.
Journal ArticleDOI
The FERET evaluation methodology for face-recognition algorithms
TL;DR: Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems.
Proceedings ArticleDOI
The FERET evaluation methodology for face-recognition algorithms
TL;DR: Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems.
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.