Kenichi INOUE


Accurate Image Separation Method for Two Closely Spaced Pedestrians Using UWB Doppler Imaging Radar and Supervised Learning
Kenshi SAHO Hiroaki HOMMA Takuya SAKAMOTO Toru SATO Kenichi INOUE Takeshi FUKUDA 
Publication:   IEICE TRANSACTIONS on Communications
Publication Date: 2014/06/01
Vol. E97-B  No. 6  pp. 1223-1233
Type of Manuscript:  PAPER
Category: Sensing
Keyword: 
human imagingclosely-spaced pedestriansimage separationUWB Doppler radarsupervised learningsupport vector machine (SVM)
 Summary | Full Text:PDF(5.1MB)

Accurate and Real-Time Pedestrian Classification Based on UWB Doppler Radar Images and Their Radial Velocity Features
Kenshi SAHO Takuya SAKAMOTO Toru SATO Kenichi INOUE Takeshi FUKUDA 
Publication:   IEICE TRANSACTIONS on Communications
Publication Date: 2013/10/01
Vol. E96-B  No. 10  pp. 2563-2572
Type of Manuscript:  Special Section PAPER (Special Section on Recent Progress in Antennas and Propagation in Conjunction with Main Topics of ISAP2012)
Category: Sensing
Keyword: 
human imagingpedestrian classificationUWB Doppler radarradial velocity distributionk-nearest neighbor
 Summary | Full Text:PDF(3.8MB)

Pedestrian Imaging Using UWB Doppler Radar Interferometry
Kenshi SAHO Takuya SAKAMOTO Toru SATO Kenichi INOUE Takeshi FUKUDA 
Publication:   IEICE TRANSACTIONS on Communications
Publication Date: 2013/02/01
Vol. E96-B  No. 2  pp. 613-623
Type of Manuscript:  PAPER
Category: Sensing
Keyword: 
human imagingpedestrian imagingUWB Doppler radarinterferometryfalse image rejection
 Summary | Full Text:PDF(4.9MB)