Gait Recognition and Person Identification for Surveillance Robots

Jin-Il Park · Journal of Institute of Control Robotics and Systems · 2009

Summary

This paper proposes a gait recognition method based on contourlet and fuzzy LDA (Linear Discriminant Analysis) for surveillance robots that achieves better classification rates in comparison with the result produced by previous methods.

Type: article
Published: 2009-05-01
Cited by: 3
References: 10
DOI: https://doi.org/10.5302/j.icros.2009.15.5.511
OpenAlex: https://openalex.org/W830809625
Semantic Scholar: https://api.semanticscholar.org/CorpusID:106920620

Keywords

Contourlet, Artificial intelligence, Linear discriminant analysis, Robot, Gait

References

Moving object recognition in eigenspace representation: gait analysis and lip readingHiroshi Murase, Rie Sakai — 1996
Gait recognition: a challenging signal processing technology for biometric identificationN.V. Boulgouris, Dimitrios Hatzinakos, Konstantinos N. Plataniotis — 2005
Multi-dimensional sub-band coding: Some theory and algorithmsMartin Vetterli — 1984
The Laplacian Pyramid as a Compact Image CodeP.M.S. Burt, Edward H. Adelson — 1983
Towards a view invariant gait recognition algorithmAmit Kale, A.K.R. Chowdhury, Rama Chellappa — 2003
A survey on visual surveillance of object motion and behaviorsWenhan Hu, T.N. Tan, Liang Wang — 2004
Directional multiscale modeling of images using the contourlet transformD.D.-Y. Po, N. Minh — 2006
Framing pyramidsN. Minh, Martin Vetterli — 2003
Simplest representation yet for gait recognition: averaged silhouetteZongyi Liu, Sudeep Sarkar — 2004
The contourlet transform: an efficient directional multiresolution image representationN. Minh, Martin Vetterli — 2005
Ieee Transactions on Image Processing the Contourlet Transform: an Efficient Directional Multiresolution Image RepresentationM. Do, M. Vetterli

Cited by

Robust Face Recognition Against Illumination Change Using Visible and Infrared ImagesSa-Mun Kim, Dea-Jong Lee, Chang‐Kyu Song — 2014
Person Recognition Using Gait and Face Features on Thermal ImagesSa-Mun Kim, Dae-Jong Lee, Ho-Hyun Lee — 2016
Fusion Recognition of Micro-gait and Micro-expression Based on Microscope TechnologyBeiji Zou, Lingzi Jiang — 2019

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