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Stroud, S, Jones, KO, Edwards, G, Robinson, C, Ellis, D and Chandler-Crnigoj, S (2023) Robust Audio Zoom for Surveillance Systems: A Beamforming Approach with Reduced Microphone Array. In: 37th International Conference on Information Technologies, InfoTech 2023 – Proceedings (37). pp. 1-4. (2023 International Conference on Information Technologies (InfoTech), 20-21 September 2023, Bulgaria).
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Robust Audio Zoom for Surveillance Systems A Beamforming Approach with Reduced Microphone Array.pdf - Accepted Version Download (609kB) | Preview |
Abstract
This paper presents a delay and sum beamforming audio zoom method for addressing broken microphones in video surveillance systems. The proposed approach utilises a reduced array of 13 omnidirectional microphones and applies delay and sum beamforming to enhance audio signals from a user-defined grid area. The system enables audio zooming, focusing on specific directions, and is valuable for video surveillance applications. The MATLAB-based script includes a polar plot to visualise the beamforming direction and compares the response of the 13-microphone array with the full 16-microphone array after beamforming. Experimental results demonstrate the system's effectiveness in overcoming microphone failures in surveillance scenarios.
| Item Type: | Conference or Workshop Item (Paper) |
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| Additional Information: | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Engineering |
| Publisher: | IEEE |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 16 Nov 2023 10:58 |
| Last Modified: | 16 Nov 2023 10:58 |
| DOI or ID number: | 10.1109/InfoTech58664.2023.10266894 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/21861 |
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