@inproceedings{1cbffbc74f2b4c9d8d76e99a1dae7ee7,
title = "Image-free single-pixel fast localization of multi-target using small window projection",
abstract = "Multi-target localization using projections in multiple directions is an effective strategy for distinguishing the positions of multiple targets, which will lead to time consumption in single-pixel localization. In order to achieve fast tracking of multiple targets, we propose a Fourier single-pixel detection method based on small-window projections. Our method avoids projecting in multiple directions globally, and in most cases, tracking multiple targets can be accomplished by projecting in only two directions within a small window corresponding to a single target. So, due to the small projection window, only a few projections are required to complete the localization. Simulation results show that this method can accomplish the multi-target tracking task. At a spatial resolution of 256 × 256 pixels, four targets are tracked simultaneously, and a minimum of only 32 projections are required to complete one tracking frame with a tracking error of no more than one pixel. This technique provides an effective scheme for real-time fast-tracking of multiple targets.",
keywords = "Image-free localization, Multi-target tracking, Single pixel detection, Small window positioning",
author = "Wu, \{Qing Fan\} and Yu, \{Yuan Jin\} and Ji, \{Peng Cheng\} and Zhou, \{Shuai Jun\} and Zhang, \{Hui Juan\}",
note = "Publisher Copyright: {\textcopyright} 2024 Technical Committee on Control Theory, Chinese Association of Automation.; 43rd Chinese Control Conference, CCC 2024 ; Conference date: 28-07-2024 Through 31-07-2024",
year = "2024",
doi = "10.23919/CCC63176.2024.10662076",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "4036--4041",
editor = "Jing Na and Jian Sun",
booktitle = "Proceedings of the 43rd Chinese Control Conference, CCC 2024",
address = "United States",
}