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Abstract
An audio-visual surveillance system able to detect, classify and to localize acoustic events in a bank operating room is presented. Algorithms for detection and classification of abnormal acoustic events, such as screams or gunshots are introduced. Two types of detectors are employed to detect impulsive sounds and vocal activity. A Support Vector Machine (SVM) classifier is used to discern between the different classes of acoustic events. The methods for calculating the direction of coming sound employing an acoustic vector sensor are presented. The localization is achieved by calculating the DOA (Direction of Arrival) histogram. The evaluation of the system based on experiments conducted in a real bank operating room is given. Results of sound event detection, classification and localization are given and discussed. The system proves efficient for the task of automatic surveillance of the bank operating room
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Authors (4)
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Georgis Bogdanis
- Informatic Systems Designing and Applications Agency Microsystem ..
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Published in:
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Communications in Computer and Information Science
pages 107 - 120,
ISSN: 1865-0929 - Title of issue:
- 6th International Conference on Multimedia Communications, Services and Security (MCSS) strony 107 - 120
- ISSN:
- 1865-0929
- Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Kotus J., Łopatka K., Czyżewski A., Bogdanis G..: Audio-visual surveillance system for application in bank operating room, W: 6th International Conference on Multimedia Communications, Services and Security (MCSS), 2013, ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-642-38559-9_10
- Verified by:
- Gdańsk University of Technology
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