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Paper Abstract and Keywords
Presentation 2010-03-04 11:30
Improving Hypothesis Management and Considering Sensor Information Loss for Scenario-type Hypothesis Object Tracking
Masakazu Murata, Yoshiaki Taniguchi, Go Hasegawa, Hirotaka Nakano (Osaka Univ.) IN2009-170
Abstract (in Japanese) (See Japanese page) 
(in English) We have proposed an object tracking method called Scenario-type Hypothesis Tracking. The proposed method divides a wide monitoring region into multiple closed micro cells, and pairs of infrared sensors are placed at borders among micro cells to detect objects and their moving directions. The sensor information is gathered to a tracking server through wireless networks, and the tracking server maintains virtual micro cells and virtual objects which indicate a variety of hypotheses of object trajectory. Virtual objects are generated, moved, and deleted in virtual micro cells appropriately based on sensor information and behavior of other virtual objects. The number of virtual objects greatly increases when the number of micro cells and the object density increase, which results in the increase of system load. In this report, we modify the generation method of virtual objects to decrease the number of generated virtual objects while keeping object tracking accuracy. In addition, we extend our method to handle losses of sensor information due to packet loss, failure of sensing, and functional limitation of sensors. Through simulation evaluations, we confirm that the number of generated virtual objects is decreased by about 25% while keeping object tracking accuracy when the tracking server fails to gather sensor information.
Keyword (in Japanese) (See Japanese page) 
(in English) sensor network / object tracking / scenario-type hypothesis / virtual object / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 449, IN2009-170, pp. 157-162, March 2010.
Paper # IN2009-170 
Date of Issue 2010-02-25 (IN) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee NS IN  
Conference Date 2010-03-04 - 2010-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyazaki Phoenix Seagaia Resort (Miyazaki) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General, NS+IN workshop (March 4-5) 
Paper Information
Registration To IN 
Conference Code 2010-03-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improving Hypothesis Management and Considering Sensor Information Loss for Scenario-type Hypothesis Object Tracking 
Sub Title (in English)  
Keyword(1) sensor network  
Keyword(2) object tracking  
Keyword(3) scenario-type hypothesis  
Keyword(4) virtual object  
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1st Author's Name Masakazu Murata  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Yoshiaki Taniguchi  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Go Hasegawa  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Hirotaka Nakano  
4th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2010-03-04 11:30:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2009-170 
Volume (vol) vol.109 
Number (no) no.449 
Page pp.157-162 
#Pages
Date of Issue 2010-02-25 (IN) 


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