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Paper Abstract and Keywords
Presentation 2012-03-30 09:30
Object Tracking Using Kinect and its Application in Tracking Dynamical Behaviors of Botanical Tree Leaves
Khanh N. Do, Jun Ohya (Waseda Univ.) PRMU2011-265 HIP2011-93
Abstract (in Japanese) (See Japanese page) 
(in English) Reconstructing the dynamical behavior of a moving non-rigid object such as smoke, water and botanical tree is a tough task because it is very difficult to track the behavior of such objects due to their complicated structure and behavior. This paper studies on tracking the dynamical behaviors of a botanical tree by particle filter based methods.
The proposed method uses particle filter, which is also known as Sequential Monte Carlo method, to estimate the position of the target leaf (leaf to be tracked) in each frame of the video sequences. The motion model predicts the position of the target leaf by generating different hypothesis of the target leaf’s positions. The observation model corrects the prediction by evaluating each “particle” based on template matching score between the leaf model (template) and the target leaf. To increase the tracking accuracy and decrease the computation cost, a leaf is only searched for in its region of interest (ROI). The ROI position and size are updated by one frame delay method.
Keyword (in Japanese) (See Japanese page) 
(in English) Particle filter / Template matching / Kinect / Botanical tree / Tracking / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 500, HIP2011-93, pp. 159-164, March 2012.
Paper # HIP2011-93 
Date of Issue 2012-03-22 (PRMU, HIP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
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)
Download PDF PRMU2011-265 HIP2011-93

Conference Information
Committee PRMU HIP  
Conference Date 2012-03-29 - 2012-03-30 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HIP 
Conference Code 2012-03-PRMU-HIP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Object Tracking Using Kinect and its Application in Tracking Dynamical Behaviors of Botanical Tree Leaves 
Sub Title (in English)  
Keyword(1) Particle filter  
Keyword(2) Template matching  
Keyword(3) Kinect  
Keyword(4) Botanical tree  
Keyword(5) Tracking  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Khanh N. Do  
1st Author's Affiliation Global Information and Telecommunication Studies, Waseda University (Waseda Univ.)
2nd Author's Name Jun Ohya  
2nd Author's Affiliation Global Information and Telecommunication Studies, Waseda University (Waseda Univ.)
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Speaker Author-2 
Date Time 2012-03-30 09:30:00 
Presentation Time 30 minutes 
Registration for HIP 
Paper # PRMU2011-265, HIP2011-93 
Volume (vol) vol.111 
Number (no) no.499(PRMU), no.500(HIP) 
Page pp.159-164 
#Pages 6 
Date of Issue 2012-03-22 (PRMU, HIP) 

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