Art

J-GLOBAL ID：201902252945179783   Reference number：19A0387803

STHOG特徴に基づく歩行者照合のCNNによる高精度化

Author (4)： KASHIMOTO YUSHIRO (大阪大) ,  MURAMATSU DAIGO (大阪大) ,  TAKEMURA NORIKO (大阪大) ,  YAGI YASUSHI (大阪大)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 118  Issue： 405(MVE2018 38-53)  Page： 11-16  Publication year： Jan. 10, 2019 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： characteristic ,  *pedestrian ,  neural network (biomodel) ,  comparison ,  improvement ,  *image recognition ,  moving image ,  image processing ,  supervised learning ,  image ,  contour ,  data ,  feature extraction ,  convolutional neuralnetwork
Semi thesaurus term： histograms of oriented gradients feature ,  gray-scale image ,  silhouette ,  image sequence ,  spatiotemporal data ,  high precision ,  collation

JST classification (1)： Pattern recognition  (JE07000S)

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Terms in the title (4)： 歩行者 ,  照合 ,  CNN ,  高精度化