Investigating Open-World Person Re-Identification Using a Drone
Abstract
Person re-identification is now one of the most topical and intensively studied problems in computer vision due to its challenging nature and its critical role in underpinning many multi-camera surveillance tasks. A fundamental assumption in almost all existing re-identification research is that cameras are in fixed emplacements, allowing the explicit modelling of camera and inter-camera properties in order to improve re-identification. In this paper, we present an introductory study pushing re-identification in a different direction: re-identification on a mobile platform, such as a drone. We formalise some variants of the standard formulation for re-identification that are more relevant for mobile re-identification. We introduce the first dataset for mobile re-identification, and we use this to elucidate the unique challenges of mobile re-identification. Finally, we re-evaluate some conventional wisdom about re-id models in the light of these challenges and suggest future avenues for research in this area.
Cite
Text
Layne et al. "Investigating Open-World Person Re-Identification Using a Drone." European Conference on Computer Vision, 2014. doi:10.1007/978-3-319-16199-0_16Markdown
[Layne et al. "Investigating Open-World Person Re-Identification Using a Drone." European Conference on Computer Vision, 2014.](https://mlanthology.org/eccv/2014/layne2014eccv-investigating/) doi:10.1007/978-3-319-16199-0_16BibTeX
@inproceedings{layne2014eccv-investigating,
title = {{Investigating Open-World Person Re-Identification Using a Drone}},
author = {Layne, Ryan and Hospedales, Timothy M. and Gong, Shaogang},
booktitle = {European Conference on Computer Vision},
year = {2014},
pages = {225-240},
doi = {10.1007/978-3-319-16199-0_16},
url = {https://mlanthology.org/eccv/2014/layne2014eccv-investigating/}
}