Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Algorithm for automatically producing layered sprites by detecting camera movement
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
A Probabilistic Model for Camera Zoom Detection
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Video Indexing Using MPEG Motion Compensation Vectors
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
A unified approach to shot change detection and camera motion characterization
IEEE Transactions on Circuits and Systems for Video Technology
A sense of speed in camera motion
IMSA'06 Proceedings of the 24th IASTED international conference on Internet and multimedia systems and applications
A featureless and stochastic approach to on-board stereo vision system pose
Image and Vision Computing
Proceedings of the 22nd international workshop on Network and Operating System Support for Digital Audio and Video
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In this paper, we propose an algorithm to characterize camera motion in video sequences based on image feature analysis. The approach predicts camera motion using spatio-temporal information obtained from tracking selected feature points throughout an image sequence. The spatio-temporal information provides the advantage of rich visual characteristic along a larger temporal scale over the traditional approaches, which tend to formulate computational methodologies on a few adjacent frames. The algorithm detects five basic camera motions of stationary, panning, tilting, zooming, and the combination of panning and tilting. We conduct the experiments to verify the proposed approach using real compressed video sequences. The experimental results have demonstrated the performance of proposed approach in determining camera motion.