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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Vydáno v:	IPSJ transactions on computer vision and applications Ročník 10; číslo 1; s. 1 - 14
Hlavní autoři:	Takemura, Noriko, Makihara, Yasushi, Muramatsu, Daigo, Echigo, Tomio, Yagi, Yasushi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 20.02.2018 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
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