Art

J-GLOBAL ID：201602284977891263   Reference number：16A0995225

Estimating the Number of People Using Existing WiFi Access Point Based on Support Vector Regression

サポートベクトル回帰に基づく既存のWiFiアクセスポイントを用いた人間の数の推定

Author (2)： YOSHIDA Takuya (Kindai Univ., Higashiosaka, JPN) ,  TANIGUCHI Yoshiaki (Kindai Univ., Higashiosaka, JPN)
Material： Information (Koganei)
Volume： 19  Issue： 7(A)  Page： 2661-2668  Publication year： Jul. 2016 
JST Material Number： L7416A  ISSN： 1343-4500  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *support vector machine ,  *wireless LAN ,  terminal station ,  signal characteristic ,  indoor environment ,  *Machine Learning ,  Regression Analysis ,  received signal strength indicator ,  learning data ,  *wireless-fidelity
Semi thesaurus term： *support vector regression ,  *Wireless Fidelity

JST classification (2)： Radio communication in general  (ND08010L) ,  Exchange and switching systems  (ND11020E)

Reference (14)：

• Z. Ma and A. B. Chan, ”Crossing the line: Crowd counting by integer programming with local features,” in Proceedings of IEEE CVPR 2013, Jun. 2013, pp. 2539-2546.
• A. B. Chan and N. Vasconcelos, ”Counting people with low-level features and Bayesian regression,” IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 2160-2177, Apr. 2012.
• S. Fujisawa, G. Hasegawa, Y. Taniguchi, and H. Nakano, ”Pedestrian counting in video sequences based on optical flow clustering,” International Journal of Image Processing, vol. 7, no. 1, pp. 1-16, Feb. 2013.
• Y. Taniguchi, M. Mizushima, G. Hasegawa, H. Nakano, and M. Matsuoka, ”Counting pedestrians passing through a line in crowded scenes by extracting optical flows,” Information, vol. 19, no. 1, pp. 303-316, Jan. 2016.
• F. Bu, R. Greene-Roesel, M. C. Diogenes, and D. R. Ragland, ”Estimating pedestrian accident exposure: Automated pedestrian counting devices report,” UC berkeley Traffic Safety Center, Max. 2007.

Terms in the title (6)： サポートベクトル回帰 ,  WiFi ,  アクセスポイント ,  人間 ,  数 ,  推定