Real-Time Tracking of Low-Resolution Vehicles for Wide-Area Persistent Surveillance
Abstract
Live wide-area persistent surveillance (WAPS) systems must provide effective multi-target tracking on downlinked video streams in real-time. This paper presents the first published aerial tracking system that is documented to process over 100 megapixels per second. The implementation addresses the challenges with the mosaicked, low-resolution, grayscale NITF imagery provided by most currently fielded WAPS platforms and the flexible computation architecture required to provide real-time performance. This paper also provides ground-truth for repeatable evaluation of wide-area persistent surveillance on a 2009 dataset collected by AFRL [1] that is available to the public as well as a quantitative analysis of this real-time implementation. To our knowledge, this is the only publication that (1) provides details of a real-time implementation for detection and tracking in (2) mosaicked, composed imagery from a fielded WAPS sensor, and (3) provides annotation data and quantitative analysis for repeatable WAPS tracking experimentation in the computer vision community.
Cite
Text
Keck et al. "Real-Time Tracking of Low-Resolution Vehicles for Wide-Area Persistent Surveillance." IEEE/CVF Winter Conference on Applications of Computer Vision, 2013. doi:10.1109/WACV.2013.6475052Markdown
[Keck et al. "Real-Time Tracking of Low-Resolution Vehicles for Wide-Area Persistent Surveillance." IEEE/CVF Winter Conference on Applications of Computer Vision, 2013.](https://mlanthology.org/wacv/2013/keck2013wacv-real/) doi:10.1109/WACV.2013.6475052BibTeX
@inproceedings{keck2013wacv-real,
title = {{Real-Time Tracking of Low-Resolution Vehicles for Wide-Area Persistent Surveillance}},
author = {Keck, Mark and Galup, Luis and Stauffer, Chris},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2013},
pages = {441-448},
doi = {10.1109/WACV.2013.6475052},
url = {https://mlanthology.org/wacv/2013/keck2013wacv-real/}
}