Detecting changes in signals and systems—a survey
Automatica (Journal of IFAC)
A Unified Approach to Moving Object Detection in 2D and 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
The role of analysis in content-based video coding and indexing
Signal Processing - Video segmentation for content-based processing manipulation
Direct incremental model-based image motion segmentation for video analysis
Signal Processing - Video segmentation for content-based processing manipulation
Signal Processing - Video segmentation for content-based processing manipulation
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Performance Characterization and Comparison of Video Indexing Algorithms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Rapid scene analysis on compressed video
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we address the problem of structuring video documents into meaningful spatio-temporal entities, involving the tracking of spatio-temporal zones of interest. We present a newte chnique for tracking over time a region in the image which is initially user-delimited. The tracking method is based on the robust estimation of a 2D affine motion. In order to facilitate the task of the user, the scheme includes the original idea of an automatic tracking failure detection procedure which exploits at lowcost information related to the estimated motion model. Experimental results are provided on excerpts of a real movie.