Walking in Colors: Human Gait Recognition Using Kinect and CBIR

Author

Milovanovic, Milos ; Minovic, Miroslav ; Starcevic, Dusan

Author_Institution

Univ. of Belgrade, Belgrade, Serbia

Volume

20

Issue

4

fYear

2013

fDate

Oct.-Dec. 2013

Firstpage

28

Lastpage

36

Abstract

This article proposes a new method of recognizing human gait. The proposed method is based on the idea that the problem of human gait recognition can be transformed from a spatio-temporal problem into the spatial domain, specifically the 2D image domain. This is done by representing a sample of a human gait as a still image. By doing so, all the recorded information is kept while enabling the use of proven content-based image retrieval (CBIR) techniques for recognition. The proposed method uses Microsoft Kinect human-computer interaction technology for data acquisition. To prove the validity of the proposed approach, the authors conducted a study with 50 participants.

Keywords

content-based retrieval; data acquisition; gait analysis; human computer interaction; image representation; image retrieval; interactive devices; object recognition; 2D image domain; CBIR; Microsoft Kinect human-computer interaction technology; content-based image retrieval techniques; data acquisition; human gait recognition; human gait representation; spatial domain; spatio-temporal problem; still image; Color; Gait recognition; Image color analysis; Spatial analysis; Microsoft Kinect; biometry; computer vision; human gait recognition; multimedia; pattern recognition;

fLanguage

English

Journal_Title

MultiMedia, IEEE

Publisher

ieee

ISSN

1070-986X

Type

jour

DOI

10.1109/MMUL.2013.16

Filename

6488674