Information Theoretic Sensor Management for Multi-Target Tracking with a Single Pan-Tilt-Zoom Camera
Abstract
Automatic multiple target tracking with pan-tilt-zoom (PTZ) cameras is a hard task, with few approaches in the lit-erature, most of them proposing simplistic scenarios. In this paper, we present a PTZ camera management framework which lies on information theoretic principles: at each time step, the next camera pose (pan, tilt, focal length) is chosen, according to a policy which ensures maximum information gain. The formulation takes into account occlusions, phys-ical extension of targets, realistic pedestrian detectors and the mechanical constraints of the camera. Convincing com-parative results on synthetic data, realistic simulations and the implementation on a real video surveillance camera val-idate the effectiveness of the proposed method. 1.
Cite
Text
Salvagnini et al. "Information Theoretic Sensor Management for Multi-Target Tracking with a Single Pan-Tilt-Zoom Camera." IEEE/CVF Winter Conference on Applications of Computer Vision, 2014. doi:10.1109/WACV.2014.6836009Markdown
[Salvagnini et al. "Information Theoretic Sensor Management for Multi-Target Tracking with a Single Pan-Tilt-Zoom Camera." IEEE/CVF Winter Conference on Applications of Computer Vision, 2014.](https://mlanthology.org/wacv/2014/salvagnini2014wacv-information/) doi:10.1109/WACV.2014.6836009BibTeX
@inproceedings{salvagnini2014wacv-information,
title = {{Information Theoretic Sensor Management for Multi-Target Tracking with a Single Pan-Tilt-Zoom Camera}},
author = {Salvagnini, Pietro and Pernici, Federico and Cristani, Marco and Lisanti, Giuseppe and Masi, Iacopo and Del Bimbo, Alberto and Murino, Vittorio},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2014},
pages = {893-900},
doi = {10.1109/WACV.2014.6836009},
url = {https://mlanthology.org/wacv/2014/salvagnini2014wacv-information/}
}