2015 IEEE Intelligent Vehicles Symposium (IV) June 28 - July 1, 2015. COEX, Seoul, Korea Pedestrian Detection Based on Deep Convolutional Neural Network with Ensemble Inference Network Hiroshi Fukui

Source URL: www.murase.m.is.nagoya-u.ac.jp

東大 EMP 講師プロフィール（第 15 期） 丸井 浩 (MARUI Hiroshi)

Source URL: www.emp.u-tokyo.ac.jp

東大 EMP 講師プロフィール（第 15 期） 江崎 浩 (ESAKI Hiroshi) 東京大学大学院情報理工学系研究科 教授 九州大学工学部卒業、

Source URL: www.emp.u-tokyo.ac.jp

Hand Waving Gesture Detection using a Far-infrared Sensor Array with Thermo-spatial Region of Interest Chisato Toriyama1 , Yasutomo Kawanishi1, Tomokazu Takahashi2, Daisuke Deguchi3, Ichiro Ide1 , Hiroshi Murase1 , Tomoy

Source URL: www.murase.m.is.nagoya-u.ac.jp

Proceedings of the 1996 IEEE International Conference on Robotics and Automation Minneapolis, Minnesota - April 1996 Real-Time 100 Object Recognition System * Shree K. Nayart, Sameer A. Nenet, and Hiroshi Murase$

Source URL: www.cs.columbia.edu

東大 EMP 講師プロフィール（第 15 期） 市川 裕 (ICHIKAWA Hiroshi) 東京大学大学院人文社会系研究科・文学部 教授 （専攻 聖書・ユダヤ教） 東京大学法学部卒業、

Source URL: www.emp.u-tokyo.ac.jp

New Resistance Distances with Global Information on Large Graphs 1 Canh Hao Nguyen1 Hiroshi Mamitsuka1,2

Source URL: jmlr.csail.mit.edu

ジャン＝バティスト ･ セーとジュネーヴ Jean-Baptiste Say and Geneva 喜  多  見  洋 KITAMI Hiroshi

Source URL: chssl.lib.hit-u.ac.jp

Illumination Planning for 0bject Recognit ion in Structured Environments * Shree K . Nayar Hiroshi Murase NTT Basic Research Labs

Source URL: www.cs.columbia.edu

• Algebra
• Mathematics
• Image processing
• Eigenface
• Face recognition
• Image segmentation
• Eigenvalues and eigenvectors
• Parametric equation
• Outline of object recognition
• Differential geometry of curves
• Template matching
• Constellation model

Detector ensemble based on false positive mining for pedestrian detection Yuki SUZUKI, Daisuke DEGUCHI, Yasutomo KAWANISHI, Ichiro IDE, and Hiroshi MURASE, Nagoya University, Japan Purpose

Source URL: www.murase.m.is.nagoya-u.ac.jp

• Feature detection
• Detectors
• Pedestrian detection
• Surveillance
• Technology
• Electromagnetism
• Integral Channel Features
• Electrical engineering