Survey of sports video analysis: research issues and applications
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
An algorithm to estimate mean vehicle speed from MPEG Skycam video
Multimedia Tools and Applications
A recursive fuzzy systemfor efficient digital image stabilization
Advances in Fuzzy Systems - Regular issue
Video stabilization for a hand-held camera based on 3D motion model
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Development of image stabilization system using extended kalman filter for a mobile robot
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Archiving tennis video clips based on tactics information
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
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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