IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
... (for ESS/CS/ES/ISS)
Tech. Rep. Archives
... (for ES/CS)
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2012-01-27 11:30
Accurate image separation of pedestrians with UWB Doppler imaging radars
Hiroaki Homma, Kenshi Saho, Takuya Sakamoto, Toru Sato (Kyoto Univ.), Kenichi Inoue, Takeshi Fukuda (Panasonic Co.) SANE2011-153
Abstract (in Japanese) (See Japanese page) 
(in English) A numerous studies have been devoted to developing security systems using ultra-wideband Doppler imaging radars to detect human bodies. Most of these conventional methods have been designed for a single target, whereas it is needed to develop alternative methods applicable to multiple targets. One such method based on hierarchical clustering was developed to separate images of multiple targets, but its accuracy is not satisfactory in practice. This paper proposes another method using the support vector machine algorithm to achieve better accuracy. Numerical simulations establish that the proposed method is able to separate images of two targets with root-mean-square error of 5.24 cm.
Keyword (in Japanese) (See Japanese page) 
(in English) UWB Doppler imaging rader / support vector machine / pedestrian identification / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 407, SANE2011-153, pp. 67-72, Jan. 2012.
Paper # SANE2011-153 
Date of Issue 2012-01-19 (SANE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Download PDF SANE2011-153

Conference Information
Committee SANE  
Conference Date 2012-01-26 - 2012-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagasaki Prefectural Art Museum 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Positioning, navigation and general 
Paper Information
Registration To SANE 
Conference Code 2012-01-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Accurate image separation of pedestrians with UWB Doppler imaging radars 
Sub Title (in English)  
Keyword(1) UWB Doppler imaging rader  
Keyword(2) support vector machine  
Keyword(3) pedestrian identification  
1st Author's Name Hiroaki Homma  
1st Author's Affiliation Kyoto Univercity (Kyoto Univ.)
2nd Author's Name Kenshi Saho  
2nd Author's Affiliation Kyoto Univercity (Kyoto Univ.)
3rd Author's Name Takuya Sakamoto  
3rd Author's Affiliation Kyoto Univercity (Kyoto Univ.)
4th Author's Name Toru Sato  
4th Author's Affiliation Kyoto Univercity (Kyoto Univ.)
5th Author's Name Kenichi Inoue  
5th Author's Affiliation Panasonic Corporation (Panasonic Co.)
6th Author's Name Takeshi Fukuda  
6th Author's Affiliation Panasonic Corporation (Panasonic Co.)
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Date Time 2012-01-27 11:30:00 
Presentation Time 25 
Registration for SANE 
Paper # IEICE-SANE2011-153 
Volume (vol) IEICE-111 
Number (no) no.407 
Page pp.67-72 
#Pages IEICE-6 
Date of Issue IEICE-SANE-2012-01-19 

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan