Gait period estimation algorithm based on the angles of extremities

T Afendi, Fatih Kurugollu, Daniel Crookes

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Gait period estimation is an important step in the gait recognition framework. In this paper, we propose a new gait cycle detection method based on the angles of extreme points of both legs. In addition to that, to further improve the estimation of the gait period, the proposed algorithm divides the gait sequence into sections before identifying the maximum values. The proposed algorithm is scale invariant and less dependent on the silhouette shape. The performance of the proposed method was evaluated using the OU-ISIR speed variation gait database. The experimental results show that the proposed method achieved 90.2% gait recognition accuracy and outperforms previous methods found in the literature with the second best only achieved 67.65% accuracy.
Original languageEnglish
Pages160-165
Number of pages6
Publication statusPublished - Jun 2013
Event4th European Workshop on Visual Information Processing (EUVIP), June 10-12, 2013 - , United Kingdom
Duration: 10 Jun 2013 → …

Conference

Conference4th European Workshop on Visual Information Processing (EUVIP), June 10-12, 2013
CountryUnited Kingdom
Period10/06/2013 → …

Cite this

Afendi, T., Kurugollu, F., & Crookes, D. (2013). Gait period estimation algorithm based on the angles of extremities. 160-165. Paper presented at 4th European Workshop on Visual Information Processing (EUVIP), June 10-12, 2013, United Kingdom.