Gait recognition using procrustes shape analysis and shape context

Authors:
Yuanyuan Zhang;Niqing Yang;Wei Li;Xiaojuan Wu;Qiuqi Ruan
Affiliations:
School of Information Science and Engineering, Shandong University, Jinan, China;School of Information Science and Engineering, Shandong University, Jinan, China;School of Information Science and Engineering, Shandong University, Jinan, China;School of Information Science and Engineering, Shandong University, Jinan, China;Institute of Information Science, Beijing Jiaotong University, Beijing, China
Venue:
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Year:
2009

Citing 10
Cited 0

A shortest augmenting path algorithm for dense and sparse linear assignment problems

Computing
Combinatorial optimization: algorithms and complexity

Combinatorial optimization: algorithms and complexity
The FERET Evaluation Methodology for Face-Recognition Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts

IEEE Transactions on Pattern Analysis and Machine Intelligence
Individual Recognition by Kinematic-Based Gait Analysis

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
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
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Individual Recognition Using Gait Energy Image

IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic gait recognition based on statistical shape analysis

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a novel algorithm for individual recognition by gait The method of Procrustes shape analysis is used to produce Procrustes Mean Shape (PMS) as a compressed representation of gait sequence PMS is adopted as the gait signature in this paper Instead of using the Procrustes mean shape distance as a similarity measure, we introduce shape context descriptor to measure the similarity between two PMSs Shape context describes a distribution of all boundary points on a shape with respect to any single boundary point by a histogram of log-polar plot, and offers us a global discriminative characterization of the shape Standard pattern recognition techniques are used to classify different patterns The experiments on CASIA Gait Database demonstrate that the proposed method outperforms other algorithms in both classification performance and verification performance.