Region-based active contours for video object segmentation with camera compensation
- 13 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 61-64
- https://doi.org/10.1109/icip.2001.958424
Abstract
We present a new algorithm for the segmentation of moving objects in a video sequence acquired by a mobile camera using region-based active contours. Indeed, active contours are powerful tools for segmentation. However, as far as segmentation of moving objects is concerned, region-based terms must be incorporated in the evolution equation, in addition to classical boundary-based terms. We consequently propose a general framework for region-based active contours with a new Eulerian method to compute the evolution equation of the active contour. This general framework is then applied to the segmentation of moving objects from a sequence with a moving camera. We propose to jointly perform camera compensation and segmentation by taking directly into account the camera model in the criterion to minimize.Keywords
This publication has 10 references indexed in Scilit:
- Inward and outward curve evolution using level set methodPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Detection of multiple moving objects using multiscale MRF with camera motion compensationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Video object segmentation using Eulerian region-based active contoursPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Motion segmentation with level setsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Geodesic active regions for motion estimation and trackingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Deterministic edge-preserving regularization in computed imagingIEEE Transactions on Image Processing, 1997
- Geodesic Active ContoursInternational Journal of Computer Vision, 1997
- Deformable boundary finding in medical images by integrating gradient and region informationIEEE Transactions on Medical Imaging, 1996
- Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Snakes: Active contour modelsInternational Journal of Computer Vision, 1988