Object tracking and target reacquisition based on 3-D range data for moving vehicles

© 2011 IEEE

Détails bibliographiques
Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 20(2011), 10 vom: 15. Okt., Seite 2912-24
Auteur principal: Lee, Jehoon (Auteur)
Autres auteurs: Lankton, Shawn, Tannenbaum, Allen
Format: Article en ligne
Langue:English
Publié: 2011
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.
LEADER 01000caa a22002652 4500
001 NLM207414831
003 DE-627
005 20250212155403.0
007 cr uuu---uuuuu
008 231224s2011 xx |||||o 00| ||eng c
024 7 |a 10.1109/TIP.2011.2142002  |2 doi 
028 5 2 |a pubmed25n0691.xml 
035 |a (DE-627)NLM207414831 
035 |a (NLM)21486717 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Lee, Jehoon  |e verfasserin  |4 aut 
245 1 0 |a Object tracking and target reacquisition based on 3-D range data for moving vehicles 
264 1 |c 2011 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 18.01.2012 
500 |a Date Revised 20.10.2021 
500 |a published: Print-Electronic 
500 |a Citation Status PubMed-not-MEDLINE 
520 |a © 2011 IEEE 
520 |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 
650 4 |a Journal Article 
650 4 |a Research Support, N.I.H., Extramural 
650 4 |a Research Support, U.S. Gov't, Non-P.H.S. 
700 1 |a Lankton, Shawn  |e verfasserin  |4 aut 
700 1 |a Tannenbaum, Allen  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society  |d 1992  |g 20(2011), 10 vom: 15. Okt., Seite 2912-24  |w (DE-627)NLM09821456X  |x 1941-0042  |7 nnns 
773 1 8 |g volume:20  |g year:2011  |g number:10  |g day:15  |g month:10  |g pages:2912-24 
856 4 0 |u http://dx.doi.org/10.1109/TIP.2011.2142002  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 20  |j 2011  |e 10  |b 15  |c 10  |h 2912-24