DocumentCode :
1575734
Title :
3D Target Scale Estimation for Size Preserving in PTZ Video Tracking
Author :
Yao, Yiying ; Abidi, B. ; Abidi, Mouadh
Author_Institution :
Imaging, Robotics, & Intelligent Syst. Lab., Tennessee Univ., Knoxville, TN, USA
fYear :
2006
Firstpage :
2817
Lastpage :
2820
Abstract :
In size preserving video tracking, the camera´s focal length (zoom) is adjusted automatically to compensate for the changes in the target´s image size caused by the relative motion between the camera and the target. The accurate estimation of these changes is paramount to the system performance. Structure from motion (SFM) based on the weak perspective projection model has been applied to real time target scale estimation (B. Tordoff, et al., 2004). In this paper we design target scale estimation algorithms with linear solutions based on more advanced projection models: paraperspective and perspective. The performances of the algorithms using three projection models are examined and compared. Experimental results show that the proposed algorithm based on the paraperspective projection model produces the best performance with respect to accuracy, complexity, and robustness.
Keywords :
cameras; image sensors; motion compensation; motion estimation; target tracking; video signal processing; 3D target scale estimation; PTZ video tracking; SFM model; camera; image size compensation; linear solutions; paraperspective projection model; size preservation; structure from motion model; weak perspective projection model; Cameras; Computational complexity; Geometry; Intelligent robots; Motion estimation; Optical imaging; Optical signal processing; Robustness; Signal processing algorithms; Target tracking; Tracking; machine vision; video signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1522-4880
Print_ISBN :
1-4244-0480-0
Type :
conf
DOI :
10.1109/ICIP.2006.312994
Filename :
4107155
Link To Document :
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