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Abstract
The paper presents an automatic sound recognition algorithm intended for application in an audiovisual security monitoring system. A distributed character of security systems does not allow for simultaneous observation of multiple multimedia streams, thus an automatic recognition algorithm must be introduced. In the paper, a module for the parameterization and automatic detection of audio events is described. The spectral analyses of sounds of a broken window, gunshot and scream are performed and parameterization methods are proposed and discussed. Moreover, a sound classification system based on the Support Vector Machines (SVM) algorithm is presented and its accuracy is discussed. The practical application of the system with the use of a monitoring station is shown. The plan of further experiments is presented and the conclusions are derived. PL:W artykule przedstawiono analizę parametrów służących do automatycznego rozpoznawania zdarzeń dźwiękowych związanych z niebezpieczeństwem. Zbadano skuteczność działania klasyfikacji przy pomocy algorytmu Maszyny Wektorów Wspierających. Przedstawiono praktyczne zastosowanie systemu w systemie monitoringu zdarzeń dźwiękowych jako części projektu INDECT.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- 126th Convention of Audio Engineering Society 2009 May 7-10, Munich, Germany. - Convention Paper 7818
- Language:
- English
- Publication year:
- 2009
- Bibliographic description:
- Żwan P., Czyżewski A.: Further developments of parameterization methods of audio stream analysis for secuirty purposes// 126th Convention of Audio Engineering Society 2009 May 7-10, Munich, Germany. - Convention Paper 7818/ ed. Audio Engineering Society. Germany: , 2009,
- Verified by:
- Gdańsk University of Technology
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