Dynamic Texture Based Gait Recognition

Authors:
Vili Kellokumpu;Guoying Zhao;Stan Z. Li;Matti Pietikäinen
Affiliations:
Machine Vision Group, University of Oulu, Finland;Machine Vision Group, University of Oulu, Finland;Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China 100080;Machine Vision Group, University of Oulu, Finland
Venue:
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Year:
2009

Citing 15
Cited 4

Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns

IEEE Transactions on Pattern Analysis and Machine Intelligence
Gait Sequence Analysis Using Frieze Patterns

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
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
Action and Simultaneous Multiple-Person Identification Using Cubic Higher-Order Local Auto-Correlation

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Human Identification Based on Gait (The Kluwer International Series on Biometrics)

Human Identification Based on Gait (The Kluwer International Series on Biometrics)
Actions as Space-Time Shapes

ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Improved Gait Recognition by Gait Dynamics Normalization

IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions

IEEE Transactions on Pattern Analysis and Machine Intelligence
Gait recognition using fractal scale

Pattern Analysis & Applications
Gait recognition using image self-similarity

EURASIP Journal on Applied Signal Processing
Local spatiotemporal descriptors for visual recognition of spoken phrases

Proceedings of the international workshop on Human-centered multimedia
What image information is important in silhouette-based gait recognition?

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Biometric gait recognition

ASB'03 Proceedings of the 1st international conference on Advanced Studies in Biometrics

A compact local binary pattern using maximization of mutual information for face analysis

Pattern Recognition
A survey of advances in biometric gait recognition

CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Significance of dynamic content of gait present in the lower silhouette region

CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Robust face detection using local gradient patterns and evidence accumulation

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a novel approach for human gait recognition that inherently combines appearance and motion. Dynamic texture descriptors, Local Binary Patterns from Three Orthogonal Planes (LBP-TOP), are used to describe human gait in a spatiotemporal way. We also propose a new coding of multiresolution uniform Local Binary Patterns and use it in the construction of spatiotemporal LBP histograms. We show the suitability of the representation for gait recognition and test our method on a popular CMU MoBo dataset. We then compare our result to the state of the art methods.