DocumentCode :
3266389
Title :
Geometric and Statistic Constraints in Dynamic Re-Orientation of On-Board Camera: Inherent Vanishing Points
Author :
Ma, Lin ; Zheng, Nan-ning ; Mu, Fan ; Yi, Dong ; Cheng, Hong ; He, Yongjian
Author_Institution :
Xi´´an liaotong Univ., Xi´´an
fYear :
2007
fDate :
13-15 June 2007
Firstpage :
333
Lastpage :
338
Abstract :
This paper investigates the stochastic projective properties of natural line segments in highway scenes for the purpose of dynamically re-orientating the on-board camera. We demonstrate there are geometric and statistic constraints on the projection of such line segments. A new concept of Inherent Vanishing Points associated with land vehicle boards was employed to relate to the observed line segments and rotation matrix. We show how these constraints greatly simplify the re-orientation of the on-board camera. We validate a dynamic re-orientation algorithm based on these constraints with a real image sequence. Compared with the techniques based on static calibration fields, the method based on our proposed statistical constraints is effective, stable, and easy to use.
Keywords :
image segmentation; image sequences; matrix algebra; stochastic processes; traffic information systems; highway scenes; image sequence; inherent vanishing points; land vehicle boards; natural line segments; onboard camera dynamic reorientation; rotation matrix; static calibration fields; stochastic projective properties; Cameras; Heuristic algorithms; Image segmentation; Image sequences; Land vehicles; Layout; Road transportation; Statistics; Stochastic processes; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location :
Istanbul
ISSN :
1931-0587
Print_ISBN :
1-4244-1067-3
Electronic_ISBN :
1931-0587
Type :
conf
DOI :
10.1109/IVS.2007.4290136
Filename :
4290136
Link To Document :
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