Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition

This paper describes the world’s largest gait database with wide view variation, the “OU-ISIR gait database, multi-view large population dataset (OU-MVLP)”, and its application to a statistically reliable performance evaluation of vision-based cross-view gait recognition. Specifically, we construct...

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Bibliographic Details
Published in:	IPSJ transactions on computer vision and applications Vol. 10; no. 1; pp. 1 - 14
Main Authors:	Takemura, Noriko, Makihara, Yasushi, Muramatsu, Daigo, Echigo, Tomio, Yagi, Yasushi
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 20.02.2018 Springer Nature B.V
Subjects:	Artificial Intelligence Computer Imaging Computer Science Datasets Gait recognition Image Processing and Computer Vision Pattern Recognition and Graphics Performance evaluation Population (statistical) Research Paper Robotics and Automation Statistical methods User Interfaces and Human Computer Interaction Vision Multi-view large population performance evaluation Gait recognition Gait database
ISSN:	1882-6695, 1882-6695
Online Access:	Get full text
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