Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Junko Furuyama"'
Publikováno v:
The Journal of The Institute of Image Information and Television Engineers. 73:671-876
Publikováno v:
The Journal of The Institute of Image Information and Television Engineers. 73:579-586
Publikováno v:
Journal of Signal Processing. 22:219-222
Publikováno v:
Journal of the Japan Society for Precision Engineering. 83:1117-1124
Publikováno v:
SITIS
In recent years, there has been a demand in the sports industry to reduce the burden of data collection and video editing for tactical analysis. To achieve these, a system that can recognize the game context is needed. In this study, we proposed a me
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319929996
ICIAR
ICIAR
In this paper we propose a novel approach for video-based person re-identification that exploits convolutional neural networks to learn the similarity of persons observed from video camera. We take 3-dimensional convolutional neural networks (3D CNN)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0869825b2dd258dd07596401daf0cd8
https://doi.org/10.1007/978-3-319-93000-8_18
https://doi.org/10.1007/978-3-319-93000-8_18
Autor:
Junko Furuyama, Hirokatsu Kataoka, Masamoto Tanabiki, Junji Kurano, Yoshimitsu Aoki, Masaki Hayashi, Taiki Yamamoto
Publikováno v:
Journal of Signal Processing. 19:147-150
Conference
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