Region-Based Tracking in an Image Sequence
Abstract
This paper addresses the problem of object tracking in a sequence of monocular images. The use of regions as primitives for tracking enables to directly handle consistent object-level entities. A motion-based segmentation process based on normal flows and first order motion models provide instantaneous measurements. Shape, position and motion of each region present in such segmented images are estimated with a recursive algorithm along the sequence. Occlusion situations can be handled. We have carried out experiments on sequences of real images depicting complex outdoor scenes.
Cite
Text
Meyer and Bouthemy. "Region-Based Tracking in an Image Sequence." European Conference on Computer Vision, 1992. doi:10.1007/3-540-55426-2_53Markdown
[Meyer and Bouthemy. "Region-Based Tracking in an Image Sequence." European Conference on Computer Vision, 1992.](https://mlanthology.org/eccv/1992/meyer1992eccv-region/) doi:10.1007/3-540-55426-2_53BibTeX
@inproceedings{meyer1992eccv-region,
title = {{Region-Based Tracking in an Image Sequence}},
author = {Meyer, François G. and Bouthemy, Patrick},
booktitle = {European Conference on Computer Vision},
year = {1992},
pages = {476-484},
doi = {10.1007/3-540-55426-2_53},
url = {https://mlanthology.org/eccv/1992/meyer1992eccv-region/}
}