A surveillance cameras-based system for indoor localization

Qian Zhang; Ting Xiao; Biaokai Zhu

doi:10.1117/12.3011476

7 December 2023 A surveillance cameras-based system for indoor localization

Qian Zhang, Ting Xiao, Biaokai Zhu

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129414S (2023) https://doi.org/10.1117/12.3011476
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

As surveillance cameras have become ubiquitous in daily life, these widely deployed cameras deliver an opportunity to localize and navigate people, especially in indoor environment where the ability of Global Position System (GPS) is limited. Thus, this paper aims to leverage monocular surveillance cameras to locate people in the physical real world. We propose a Surveillance Cameras-based System (SCS) for indoor localization. This system detects people in video images and use visual positioning techniques to extract features to locate and track people in the real world with 6-DoF pose. We design a real-time people detection algorithm, especially for a surveillance camera that is an edge device. Besides, we design a visual-based people localization algorithm. We implement SCS on an Ubuntu server and conduct extensive evaluation. The overall performance of SCS shows that the average absolute trajectory error and relative trajectory error of SCS is 0.67m and 0.29m, respectively. The average relative rotation error of SCS is less than 15º.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qian Zhang, Ting Xiao, and Biaokai Zhu "A surveillance cameras-based system for indoor localization", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129414S (7 December 2023); https://doi.org/10.1117/12.3011476

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KEYWORDS

Cameras

Surveillance

Design and modelling

Visualization

Navigation systems

Detection and tracking algorithms

Object detection

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