@inproceedings{72d418ac00f243488bb51b99565398ca,
title = "Active tracking strategy with multiple cameras in large areas",
abstract = "This paper presents a distributed multiple camera collaboration strategy for active tracking in large areas. Their collaboration utilizes a sector-based mechanism in which the visual correspondences among different cameras are determined. In order to emulate the master-slave operations, the proposed method combines the local data to construct the global information. Based on the global information, the loads are evenly distributed to avoid tracking misses due to the dynamic behaviors of the objects. The trajectories of all objects visible in the local cameras are estimated for actual tracking and the estimated dynamics are used for scheduling of the cameras. The active tracking triggering timing is carefully chosen to maximize the overall monitoring time for general surveillance operations.",
keywords = "Active tracking, Camera collaboration, Surveillance systems",
author = "Sangjin Hong and Nammee Moon",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 ; Conference date: 19-12-2016 Through 21-12-2016",
year = "2017",
doi = "10.1007/978-981-10-3023-9\_105",
language = "English",
isbn = "9789811030222",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "686--693",
editor = "Vincenzo Loia and \{Jong Hyuk Park\}, \{James J.\} and Gangman Yi and Yi Pan",
booktitle = "Advances in Computer Science and Ubiquitous Computing - CSA-CUTE2016",
}