Human Gait Recognition With Matrix Representation

Authors:
Dong Xu;Shuicheng Yan;Dacheng Tao;Lei Zhang;Xuelong Li;Hong-Jiang Zhang
Affiliations:
Dept. of Electr. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China;-;-;-;-;-
Venue:
IEEE Transactions on Circuits and Systems for Video Technology
Year:
2006

Citing 0
Cited 24

Fast communication: Gait recognition based on dynamic region analysis

Signal Processing
Combination of accumulated motion and color segmentation for human activity analysis

Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Neural network ensemble with probabilistic fusion and its application to gait recognition

Neurocomputing
Local linear transformation embedding

Neurocomputing
Curvelet based face recognition via dimension reduction

Signal Processing
A supervised learning approach to automate the acquisition of knowledge in surveillance systems

Signal Processing
Techniques for efficient and effective transformed image identification

Journal of Visual Communication and Image Representation
Fast Haar transform based feature extraction for face representation and recognition

IEEE Transactions on Information Forensics and Security
Factorial HMM and parallel HMM for gait recognition

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Iterative subspace analysis based on feature line distance

IEEE Transactions on Image Processing
Improved gait recognition by multiple-projections normalization

Machine Vision and Applications
Uncorrelated discriminant simplex analysis for view-invariant gait signal computing

Pattern Recognition Letters
Distance approximating dimension reduction of Riemannian manifolds

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Constrained Laplacian Eigenmap for dimensionality reduction

Neurocomputing
Incremental tensor biased discriminant analysis: A new color-based visual tracking method

Neurocomputing
Clothing-invariant gait identification using part-based clothing categorization and adaptive weight control

Pattern Recognition
Human action recognition using extreme learning machine based on visual vocabularies

Neurocomputing
An efficient gait recognition with backpack removal

EURASIP Journal on Advances in Signal Processing
Gait recognition without subject cooperation

Pattern Recognition Letters
Chrono-gait image: a novel temporal template for gait recognition

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
A multi-agent architecture for supporting distributed normality-based intelligent surveillance

Engineering Applications of Artificial Intelligence
Robust Gait Recognition by Learning and Exploiting Sub-gait Characteristics

International Journal of Computer Vision
Gait verification using knee acceleration signals

Expert Systems with Applications: An International Journal
Pipeline-Architecture Based Real-Time Active-Vision for Human-Action Recognition

Journal of Intelligent and Robotic Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Human gait is an important biometric feature. It can be perceived from a great distance and has recently attracted greater attention in video-surveillance-related applications, such as closed-circuit television. We explore gait recognition based on a matrix representation in this paper. First, binary silhouettes over one gait cycle are averaged. As a result, each gait video sequence, containing a number of gait cycles, is represented by a series of gray-level averaged images. Then, a matrix-based unsupervised algorithm, namely coupled subspace analysis (CSA), is employed as a preprocessing step to remove noise and retain the most representative information. Finally, a supervised algorithm, namely discriminant analysis with tensor representation, is applied to further improve classification ability. This matrix-based scheme demonstrates a much better gait recognition performance than state-of-the-art algorithms on the standard USF HumanID Gait database