A region-based MRF model for unsupervised segmentation of moving objects in image sequences
- 25 August 2005
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- A region-level graph labeling approach to motion-based segmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Spatio-temporal segmentation based on motion and static segmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A VOP generation tool: automatic segmentation of moving objects in image sequences based on spatio-temporal informationIEEE Transactions on Circuits and Systems for Video Technology, 1999
- Adaptive detection and localization of moving objects in image sequencesSignal Processing: Image Communication, 1999
- A noise robust method for 2D shape estimation of moving objects in video sequences considering a moving cameraSignal Processing, 1998
- Spatio-temporal segmentation of video dataPublished by SPIE-Intl Soc Optical Eng ,1994
- Statistical model-based change detection in moving videoSignal Processing, 1993
- Motion-field segmentation using an adaptive MAP criterionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Watersheds in digital spaces: an efficient algorithm based on immersion simulationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- The theory and practice of Bayesian image labelingInternational Journal of Computer Vision, 1990