A stable vision system for moving vehicles
Jin, J.S.
Zhigang Zhu
Guangyou Xu
Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW;
This paper appears in: Intelligent Transportation Systems, IEEE Transactions on
Publication Date: Mar 2000
Volume: 1,
Issue: 1
On page(s): 32-39
ISSN: 1524-9050
References Cited: 16
CODEN: ITISFG
INSPEC Accession Number: 6717758
Digital Object Identifier: 10.1109/6979.869019
Current Version Published: 2002-08-06
Abstract
This paper presents a novel approach to stabilize the output of
video camera installed on a moving vehicle in a rugged environment. A
2.5D interframe motion model is proposed so that the stabilization
system can perform in situations where significant depth changes are
present and the camera has both rotation and translation. Inertial
motion filtering is proposed in order to eliminate the vibration of the
video sequences with enhanced perceptual properties. The implementation
of this new approach integrates four modules: pyramid-based motion
detection, motion identification and 2.5D motion parameter estimation,
inertial motion filtering, and affine-based motion compensation. The
stabilization system can smooth unwanted vibrations or shakes of video
sequences and achieve real-time speed. We test the system on IBM PC
compatible machines and the experimental results show that our algorithm
outperforms many algorithms which require parallel pipeline image
processing machines
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