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Abstrakt
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
Cytowania
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2
CrossRef
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0
Web of Science
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5
Scopus
Autorzy (4)
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Georgis Bogdanis
- Informatic Systems Designing and Applications Agency Microsystem ..
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Informacje szczegółowe
- Kategoria:
- Aktywność konferencyjna
- Typ:
- materiały konferencyjne indeksowane w Web of Science
- Opublikowano w:
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Communications in Computer and Information Science
strony 107 - 120,
ISSN: 1865-0929 - Tytuł wydania:
- 6th International Conference on Multimedia Communications, Services and Security (MCSS) strony 107 - 120
- ISSN:
- 1865-0929
- Język:
- angielski
- Rok wydania:
- 2013
- Opis bibliograficzny:
- 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:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1007/978-3-642-38559-9_10
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 124 razy