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http://dx.doi.org/10.5370/KIEE.2014.63.11.1559

A Design of a Scream Detecting Engine for Surveillance Systems  

Seo, Ji-Hun (Dept. of Computer Science, Sangmyung University)
Lee, Hye-In (Dept. of Computer Science, Sangmyung University)
Lee, Seok-Pil (Dept. of Media Software, Sangmyung University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.63, no.11, 2014 , pp. 1559-1563 More about this Journal
Abstract
Recently, the prevention of crime using CCTV draws special in accordance with the higher crime incidence rate. Therefore security systems like a CCTV with audio capability are developing for giving an instant alarm. This paper proposes a scream detecting engine from various ambient noises in real environment for surveillance systems. The proposed engine detects scream signals among the various ambient noises using the features extracted in time/frequency domain. The experimental result shows the performance of our engine is very promising in comparison with the traditional engines using the model based features like LPC, LPCC and MFCC. The proposed method has a low computational complexity by using FFT and cross correlation coefficients instead of extracting complex features like LPC, LPCC and MFCC. Therefore the proposed engine can be efficient for audio-based surveillance systems with low SNRs in real field.
Keywords
Scream; Ambient noise; Surveillance system; LPC; LPCC; MFCC;
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  • Reference
1 G. Valenzise, L. Gerosa, M. Tagliasacchi, F.Antonacci, A. Sarti, "Scream and Gunshot Detection and Localization for Audio-Surveillance Systems", IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2007), pp. 21-26, 2007.
2 S. M. Lee, S. W. Byun, S. C. Li, K. Y. Kim, I. G. Chung, S. P. Lee, "Screaming data analysis for security system with audio capability", trans. KOSBE Conference, 85-87(3 pages), Nov 2013
3 Wikipedia contributors, Inverse-sqaure Law [Online]. Available: http://en.wikipedia.org/w/index.php?title=Inverse_square_law&oldid = 16039900
4 J. H. Park, H. I. Lee, J. H. Seo, G. Y. Kim, I. G. Chung, S. P. Lee "Environment noise analysis for Security system with Audio capability", KOSBE Conference, 81-84 (4 pages), Nov 2013.
5 C. F. Chan, Eric W.M. Yu, "AN ABNORMAL SOUND DETECTION AND CLASSIFICATION SYSTEM FOR SURVEILLANCE APPLICATIONS", 18th European Signal Processing Conference, EURASIP, 2010 ISSN 2076-1465, 2010
6 Wangrae Jo, Jongkuk Kim, Myungjin Bae, "A Study on Pitch Detection in Time-Frequency Hybrid Domain", Springer-Verlag, Lecture Notes in Computer Science, Vol.-LNCS3406, pp.437-440, February 2005.
7 T. J. Lee, H. J. Kwon, H. G. Choi, Y. S. Shin, J. G. Kim, "A Study on Endpoint Detection Method in Noise Environment", Trans. IEEK vol. 10, no. 1, pp. 257-260, 1997.
8 Ministry of Government Legislation, ENFORCEMENT DECREE OF THE PARKING LOT ACT [Online]. Available:http://www.law.go.kr/LSW/lsInfoP.do?lsiSeq=157062#0000
9 Aki Harma, Martin F. McKinney, and Janto Skowronek, "Automatic surveillance of the acoustic activity in our living environment", in IEEE International Conference on Multimedia and Expo, Amsterdam, July 2005.
10 M. Pleva, E. Vozarikova, S. Ondas, J. Juhar, A. Cizmar, "Automatic detection of audio events indicating threats", IEEE International Conference on Multimedia Communications, Services and Security, Krakow 6.-7.5.2010, AGH Krakow, pp. 198-201
11 I. Haritaoglu, D. Harwood, and L. Davis, "W4: real-time surveillance of people and their activities", IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 809-830, 2000.
12 C. Clavel, T. Ehrette, and G. Richard, "Events Detection for an Audio-Based Surveillance System", Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on, pp. 1306-1309, 2005.
13 P. Atrey, N. Maddage, and M. Kankanhalli, "Audio Based Event Detection for Multimedia Surveillance", IEEE International Conference on Acoustics, Speech, and Signal Processing, 2006, 2006.
14 J. Rouas, J. Louradour, and S. Ambellouis, "Audio Events Detection in Public Transport Vehicle", Proc. of the 9th International IEEE Conference on Intelligent Transportation Systems, 2006.