Probabilistic novelty detection for acoustic surveillance under real-world conditions

IEEE Transactions on Multimedia

Volumn 13, Issue 4, 2011, Pages 713-719

  Ntalampiras, Stavros ^a   Potamitis, Ilyas ^b   Fakotakis, Nikos ^a  

^a UNIVERSITY OF PATRAS   (Greece)

^b TECHNOLOGICAL EDUCATIONAL INSTITUTE OF CRETE   (Greece)

Author keywords

Audio signal processing; MPEG 7 standard; probabilistic novelty detection; public safety; wavelet packets

Indexed keywords

ACCURATE ANALYSIS; ACOUSTIC PARAMETERS; ACOUSTIC SURVEILLANCE; AUDIO SCENES; AUDIO SIGNAL; DATA SETS; FALSE ALARMS; FEATURE VECTORS; MACHINE-LEARNING; MPEG-7 STANDARD; MULTI DOMAINS; NOVELTY DETECTION; PUBLIC SAFETY; PUBLIC SPACE; SMART HOMES; WAVELET PACKET;

AUDIO ACOUSTICS; MOTION PICTURE EXPERTS GROUP STANDARDS;

SIGNAL DETECTION;

EID: 79960670476     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2011.2122247     Document Type: Article

References (21)

1. I. Haritaoglu, D. Harwood, and L. Davis, "W4: Real-time surveillance of people and their activities," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 809-830, Aug. 2000.
2. M. Markou and S. Singh, "Novelty detection: A review," Signal Process., Elsevier, vol. 83, no. 12, pp. 2481-2497, 2003.
3. D. M. J. Tax and R. P. W. Duin, "Outlier detection using classifier instability," in Proc. Advances in Pattern Recognition, Joint IAPR Int. Workshops, Sydney, Australia, 1998, pp. 593-601. (Pubitemid 128117161)
4. L. Tarassenko, "Novelty detection for the identification of masses in mammograms," in Proc. 4th IEEE Int. Conf. Artificial Neural Networks, 1995, vol. 4, pp. 442-447.
5. F. Wei, M. Miller, S. J. Stolfo, L. Wenke, and P. K. Chan, "Using artificial anomalies to detect unknown and known network intrusions," in Proc. IEEE Int. Conf. Data Mining, San Jose, CA, 2001, pp. 123-130.
6. G. Linares, P. Nocera, and H. Meloni, "Mixed acoustic events classification using ICA and subspace classifier," in Proc. ICASSP, 1997, pp. 3365-3368.
7. V. Emamian, M. Kaveh, and A. H. Tewfik, "Robust clustering of acoustic emission signals using the Kohonen network," in Proc. ICASSP, 2000, pp. 3891-3894.
8. A. Flexer, E. Pampalk, and G. Widmer, "Novelty detection based on spectral similarity of songs," in Proc. 6th Int. Conf. Music Information Retrieval, 2005, pp. 252-259.
9. M. Davy, F. Desobry, A. Gretton, and C. Doncarli, "An online support vector machine for abnormal events detection," Signal Process., Elsevier, vol. 86, no. 8, pp. 2009-2025, 2006. (Pubitemid 43795456)
10. J. Foote, "Automatic audio segmentation using a measure of audio novelty," in Proc. Int. Conf. Multimedia and Expo, New York, 2000, pp. 452-455. (Pubitemid 33058981)
11. G. Richard, M. Ramona, and S. Essid, "Combined supervised and unsupervised approaches for automatic segmentation of radiophonic audio signals," in Proc. Int. Conf. Acoustics, Speech and Signal Processing, 2007, vol. 2, pp. 461-464.
12. S. Ntalampiras, I. Potamitis, and N. Fakotakis, "An adaptive framework for acoustic monitoring of potential hazards," EURASIP J. Audio, Speech, Music Process., vol. 2009, Article ID 594103.
13. C. Clavel, T. Ehrette, and G. Richard, "Events detection for an audio-based surveillance system," in Proc. Int. Conf. Multimedia and Expo, 2005, pp. 1306-1309. (Pubitemid 44669113)
14. S. Ntalampiras, D. Arsic, A. Stormer, T. Ganchev, I. Potamitis, and N. Fakotakis, "PROMETHEUS database: A multimodal corpus for research on modeling and interpreting human behavior," in Proc. 16th Digital Signal Processing Conf., 2009, pp. 1-8.
15. H.-G. Kim, N. Moreau, and T. Sikora, MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval. New York: Wiley, 2005.
16. G. Zhou, J. H. L. Hansen, and J. F. Kaiser, "Nonlinear feature based classification of speech under stress," IEEE Trans. Speech Audio Process., vol. 9, no. 3, pp. 201-216, Mar. 2001. (Pubitemid 32286594)
17. S. Ntalampiras, I. Potamitis, and N. Fakotakis, "Exploiting temporal feature integration for generalized sound recognition," EURASIP J. Adv. Signal Process., vol. 2009, Article ID 807162.
18. D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, "Speaker verification using adapted Gaussian mixture models," Digit. Signal Process., vol. 10, no. 1, pp. 19-41, 2000. (Pubitemid 30592166)
19. C. Kwan, K. C. Ho, G. Mei, Y. Li, Z. Ren, R. Xu, Y. Zhang, D. Lao, M. Stevenson, V. Stanford, and C. Rochet, "An automated acoustic system to monitor and classify birds," EURASIP J. Appl. Signal Process., vol. 2006, Article ID 96706.
20. G. Valenzise, L. Gerosa, M. Tagliasacchi, F. Antonacci, and A. Sarti, "Scream and gunshot detection and localization for audiosurveillance systems," in Proc. IEEE Conf. Advanced Video and Signal Based Surveillance, 2007, pp. 21-26.
21. C. Clavel, I. Vasilescu, L. Devillers, G. Richard, and T. Ehrette, "Feartype emotion recognition for future audio-based surveillance systems," Speech Commun., vol. 50, no. 6, pp. 487-503, 2008.