Art

J-GLOBAL ID：201502210348177987   Reference number：15A1148939

Discriminative Feature Points Distribution in Near-Infrared Pedestrian Images

近赤外歩行者画像における識別特徴点分布

Author (4)： ZHANG Xingguo (Graduate School of Systems Sci. and Technol., Akita Prefectural Univ.) ,  CHEN Guoyue (Fac. of Systems Sci. and Technol., Akita Prefectural Univ.) ,  SARUTA Kazuki (Fac. of Systems Sci. and Technol., Akita Prefectural Univ.) ,  TERATA Yuki (Fac. of Systems Sci. and Technol., Akita Prefectural Univ.)
Material： 電気学会論文誌 C  (IEEJ Transactions on Electronics, Information and Systems)
Volume： 135  Issue： 10  Page： 1222-1228 (J-STAGE)  Publication year： 2015 
JST Material Number： S0810A  ISSN： 0385-4221  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *feature extraction ,  object recognition ,  visual sense ,  *pedestrian ,  computer vision ,  *pedestrian detection
Semi thesaurus term： *Bag-of-feature ,  visual words

JST classification (1)： Pattern recognition  (JE07000S)

Reference (23)：

• (1) J. Yan, X. Zhang, and Z. Lei : “Robust multi-resolution pedestrian detection in traffic scenes”, IEEE Conf. Comput. Vis. Pattern Recognit., pp. 3033-3040 (2013)
• (2) P. Dollar and C. Wojek : “Pedestrian detection: An evaluation of the state of the art”, IEEE Trans. Pattern Anal. Mach. Intell., pp. 743-761 (2012)
• (3) R. Benenson, O. Mohamed, J. Hosang, and B. Schiele : “Ten years of pedestrian detection, what have we learned?”, European Conference on Computer Vision (2014)
• (4) J. Marin, D. Vazquez, A. M. Lopez, J. Amores, and B. Leibe : “Random forests of local experts for pedestrian detection”, Proc. IEEE Int. Conf. Comput. Vis., pp. 2592-2599 (2013)
• (5) C. Park, D. Ramanan, and D. Fowlkes : “Multiresolution models for object detection”, European Conference on Computer Vision, Vol. 6314, pp. 1-14 (2010)

Terms in the title (5)： 近赤外 ,  歩行者 ,  識別 ,  特徴点 ,  分布