Art

J-GLOBAL ID：200902216973564913   Reference number：06A0246964

A Probabilistic Method for Vechicle Detection and Class Recognition

確率的手法を用いた車両の検出とクラス認識

Author (3)： MOHOTTALA Shirmila (東大 生産技研) ,  KAGESAWA MASATAKA (東大 生産技研) ,  IKEUCHI KATSUSHI (東大 生産技研)
Material： 電子情報通信学会論文誌 D  (IEICE Transactions on Information and Systems (Japanese Edition))
Volume： J89-D  Issue： 4  Page： 816-825  Publication year： Apr. 01, 2006 
JST Material Number： S0757C  ISSN： 1880-4535  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *object recognition ,...
Semi thesaurus term： *車両認識 ,...

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JST classification (1)： Pattern recognition  (JE07000S)

Reference (8)：

• 大山 宏, 村上伸一, “交通車輌の車種自動識別法に関する一検討,”画電学誌, vol.25, no, 5, pp, 486-494, 1996.
• J. Krumm, “Object recognition with vector quantized binary features,” Proc. IEEE Computer Vision and Pattern Recognition ’97, pp. 179-185, June 1997.
• H. Murese and S. K. Nayar, “Visual learning and recognition of 3-D object from appearance,” International Journal of Computer Vision, vol.14, no.1, pp. 5-24, Jan.1995.
• K. Ohba and K. Ikeuchi, “Detectabirty, uniqueness, and reliability of eigen-windows for stable verifications of patrtially ocluded objects,” IEEE Pattern Recognition and Machine Intelligence, vol.19, no.9, pp. 1043-1048, Sept.1997.
• J. Shi and C. Tomasi, “Good features to track,” Proc. IEEE Computer Vision and Pattern Recognition ’94, pp. 593-600, June 1994.

Terms in the title (2)： 確率的手法 ,  クラス