Combining wavelet velocity moments and reflective symmetry for gait recognition

Authors:
Guoying Zhao;Li Cui;Hua Li
Affiliations:
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing;School of Mathematics Science, Beijing Normal University, Beijing;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing
Venue:
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Year:
2005

Citing 14
Cited 2

Gait Appearance for Recognition

ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Gait Sequence Analysis Using Frieze Patterns

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
EigenGait: Motion-Based Recognition of People Using Image Self-Similarity

AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
The Gait Identification Challenge Problem: Data Sets and Baseline Algorithm

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Feature Extraction for the Analysis of Gait and Human Motion

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Gait-Based Recognition of Humans Using Continuous HMMs

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Silhouette-Based Human Identification from Body Shape and Gait

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Motion-Based Recognition of People in EigenGait Space

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Gait Analysis for Recognition and Classification

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Silhouette Analysis-Based Gait Recognition for Human Identification

IEEE Transactions on Pattern Analysis and Machine Intelligence
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Amplitude spectrum-based gait recognition

FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Automatic gait recognition via statistical approaches for extendedtemplate features

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Identification of humans using gait

IEEE Transactions on Image Processing

A New Combined Fractal Scale Descriptor for Gait Sequence

MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Pedestrian gait classification based on Hidden Markov models

AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

Gait is a biometric feature and gait recognition has become a challenging problem in computer vision. New wavelet velocity moments have been developed to describe and recognize gait. Wavelet moments are translation, scale and rotation invariant. Wavelet analysis has the trait of multi-resolution analysis, which strengthens the analysis ability to image subtle feature. According with the psychological studies, reflective symmetry features are introduced to help recognition. Combination of wavelet velocity moments and reflective symmetry not only has the characteristic of wavelet moments, but also reflects the person's walking habit of symmetry. Experiments on two databases show the proposed combined features of wavelet velocity moments and reflective symmetry are efficient to describe gait.