Stereo Vision-Based Approaches for Pedestrian Detection
Abstract
This paper describes a system for pedestrian detection in stereo infrared images. The system is based on three different underlying approaches: warm area detection, edgebased detection, and v-disparity computation. Stereo is also used for computing the distance and size of detected objects. A final validation process is performed using head morphological and thermal characteristics. Neither temporal correlation, nor motion cues are used in this processing. The developed system has been implemented on an experimental vehicle equipped with two infrared camera and preliminarily tested in different situations.
Cite
Text
Bertozzi et al. "Stereo Vision-Based Approaches for Pedestrian Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2005. doi:10.1109/CVPR.2005.534Markdown
[Bertozzi et al. "Stereo Vision-Based Approaches for Pedestrian Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2005.](https://mlanthology.org/cvprw/2005/bertozzi2005cvprw-stereo/) doi:10.1109/CVPR.2005.534BibTeX
@inproceedings{bertozzi2005cvprw-stereo,
title = {{Stereo Vision-Based Approaches for Pedestrian Detection}},
author = {Bertozzi, Massimo and Binelli, E. and Broggi, Alberto and Del Rose, Michael S.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2005},
pages = {16},
doi = {10.1109/CVPR.2005.534},
url = {https://mlanthology.org/cvprw/2005/bertozzi2005cvprw-stereo/}
}