Presentation 2012-03-30
Object Tracking Using Kinect and its Application in Tracking Dynamical Behaviors of Botanical Tree Leaves
Khanh N. DO, Jun OHYA,
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Abstract(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.
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Keyword(in English) Particle filter / Template matching / Kinect / Botanical tree / Tracking
Paper # PRMU2011-265,HIP2011-93
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Committee HIP
Conference Date 2012/3/22(1days)
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Language ENG
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
1st Author's Name Khanh N. DO
1st Author's Affiliation Graduate school of Global Information and Telecommunication Studies, Waseda University()
2nd Author's Name Jun OHYA
2nd Author's Affiliation Graduate school of Global Information and Telecommunication Studies, Waseda University
Date 2012-03-30
Paper # PRMU2011-265,HIP2011-93
Volume (vol) vol.111
Number (no) 500
Page pp.pp.-
#Pages 6
Date of Issue