Dynamic Integration of Generalized Cues for Person Tracking
Abstract
We present an approach for the dynamic combination of multiple cues in a particle filter-based tracking framework. The proposed algorithm is based on a combination of democratic integration and layered sampling. It is capable of dealing with deficiencies of single features as well as partial occlusion using the very same dynamic fusion mechanism. A set of simple but fast cues is defined, which allow us to cope with limited computational resources. The system is capable of automatic track initialization by means of a dedicated attention tracker permanently scanning the surroundings.
Cite
Text
Nickel and Stiefelhagen. "Dynamic Integration of Generalized Cues for Person Tracking." European Conference on Computer Vision, 2008. doi:10.1007/978-3-540-88693-8_38Markdown
[Nickel and Stiefelhagen. "Dynamic Integration of Generalized Cues for Person Tracking." European Conference on Computer Vision, 2008.](https://mlanthology.org/eccv/2008/nickel2008eccv-dynamic/) doi:10.1007/978-3-540-88693-8_38BibTeX
@inproceedings{nickel2008eccv-dynamic,
title = {{Dynamic Integration of Generalized Cues for Person Tracking}},
author = {Nickel, Kai and Stiefelhagen, Rainer},
booktitle = {European Conference on Computer Vision},
year = {2008},
pages = {514-526},
doi = {10.1007/978-3-540-88693-8_38},
url = {https://mlanthology.org/eccv/2008/nickel2008eccv-dynamic/}
}