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2.5D multi-view gait recognition based on point cloud registration

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Tang, Jin, Luo, Jian, Tjahjadi, Tardi and Gao, Yan (2014) 2.5D multi-view gait recognition based on point cloud registration. Sensors, Volume 14 (Number 4). pp. 6124-6143. doi:10.3390/s140406124

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Official URL: http://dx.doi.org/10.3390/s140406124

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Abstract

This paper presents a method for modeling a 2.5-dimensional (2.5D) human body and extracting the gait features for identifying the human subject. To achieve view-invariant gait recognition, a multi-view synthesizing method based on point cloud registration (MVSM) to generate multi-view training galleries is proposed. The concept of a density and curvature-based Color Gait Curvature Image is introduced to map 2.5D data onto a 2D space to enable data dimension reduction by discrete cosine transform and 2D principle component analysis. Gait recognition is achieved via a 2.5D view-invariant gait recognition method based on point cloud registration. Experimental results on the in-house database captured by a Microsoft Kinect camera show a significant performance gain when using MVSM.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Gait in humans -- Mathematical models, Human body -- Mathematical models, Computer vision
Journal or Publication Title: Sensors
Publisher: MDPI AG
ISSN: 1424-8220
Official Date: 24 March 2014
Dates:
DateEvent
24 March 2014Published
24 March 2014Accepted
14 January 2014Submitted
Volume: Volume 14
Number: Number 4
Page Range: pp. 6124-6143
DOI: 10.3390/s140406124
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Funder: Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC), Hunan, China (Province). Science and Technology Program
Grant number: 91220301 (NNSFC), 2013WK3026 (Hunan)

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