Gait recognition using temporal gradient patterns

Jashila Nair Mogan, Chin Poo Lee, Alan W.C. Tan

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

13 Citations (Scopus)

Abstract

In this paper, a Temporal Gradient Patterns (TGP) method is proposed for gait recognition. The method first computes the gradients of the silhouette in each image. Subsequently, the gradient of each pixel determines the bin number to which the pixel belongs to. The bin number of current and next frame jointly cast a vote to the corresponding index in the matrix of oriented gradients. The obtained matrix henceforth encodes the gradient pattern of each pixel in the gait cycle. The TGP method not only describes the spatial silhouette shapes but also implicitly captures the silhouette deformation in temporal axis. Experimental results show that the proposed approach attains a promising recognition rates.

Original languageEnglish
Title of host publication2017 5th International Conference on Information and Communication Technology, ICoIC7 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509049127
DOIs
Publication statusPublished - 18 Oct 2017
Externally publishedYes
Event5th International Conference on Information and Communication Technology, ICoIC7 2017 - Melaka, Malaysia
Duration: 17 May 201719 May 2017

Publication series

Name2017 5th International Conference on Information and Communication Technology, ICoIC7 2017

Conference

Conference5th International Conference on Information and Communication Technology, ICoIC7 2017
Country/TerritoryMalaysia
CityMelaka
Period17/05/1719/05/17

Keywords

  • Gait
  • Gait Recognition
  • Temporal Gradients Patterns

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