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231224s2011 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2011.2142002
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|a eng
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| 100 |
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|a Lee, Jehoon
|e verfasserin
|4 aut
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| 245 |
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|a Object tracking and target reacquisition based on 3-D range data for moving vehicles
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|c 2011
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 18.01.2012
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|a Date Revised 20.10.2021
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2011 IEEE
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|a In this paper, we propose an approach for tracking an object of interest based on 3-D range data. We employ particle filtering and active contours to simultaneously estimate the global motion of the object and its local deformations. The proposed algorithm takes advantage of range information to deal with the challenging (but common) situation in which the tracked object disappears from the image domain entirely and reappears later. To cope with this problem, a method based on principle component analysis (PCA) of shape information is proposed. In the proposed method, if the target disappears out of frame, shape similarity energy is used to detect target candidates that match a template shape learned online from previously observed frames. Thus, we require no a priori knowledge of the target's shape. Experimental results show the practical applicability and robustness of the proposed algorithm in realistic tracking scenarios
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| 650 |
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|a Journal Article
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| 650 |
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|a Research Support, N.I.H., Extramural
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| 650 |
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|a Research Support, U.S. Gov't, Non-P.H.S.
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| 700 |
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|a Lankton, Shawn
|e verfasserin
|4 aut
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| 700 |
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|a Tannenbaum, Allen
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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|g 20(2011), 10 vom: 28. Okt., Seite 2912-24
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|u http://dx.doi.org/10.1109/TIP.2011.2142002
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