Combining intensity and motion for incremental segmentation and tracking over long image sequences
- 1 January 1992
- book chapter
- Published by Springer Nature
- p. 485-493
- https://doi.org/10.1007/3-540-55426-2_54
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Multimodal motion estimation and segmentation using Markov random fieldsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Boundary detection by constrained optimizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1990
- The theory and practice of Bayesian image labelingInternational Journal of Computer Vision, 1990
- Detection and tracking of moving objects based on a statistical regularization method in space and timePublished by Springer Nature ,1990
- Kalman filter-based algorithms for estimating depth from image sequencesInternational Journal of Computer Vision, 1989
- Visual ReconstructionPublished by MIT Press ,1987
- Scene Segmentation from Visual Motion Using Global OptimizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984
- Combining motion and contrast for segmentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1980