Model of Surveillance System Based on Sound Tracking
Research in the audio and video surveillance is gaining more popularity due to its wide-spread applications as well as social impact. There have been considerable efforts which are focused on developing various algorithms and models for surveillance systems. Recently, the attention in audio and video surveillance has turned towards to design autonomous detection system. In this paper a surveillance system based on sound source localization by a microphone array is presented. The design of microphone array has an important issue in the accuracy of source localization. For the surveillance application, beamforming algorithms are implemented to increase the tracking and detection performance. The real-time capabilities of an automated surveillance system are analyzed, providing a performance analysis of the localization system under different acoustic conditions.
KeywordsBeamforming Microphone array Signal processing Surveillance
This work was supported in frame of Internal Grant Agency of Tomas Bata University in Zlin, Faculty of Applied Informatics IGA/CebiaTech/2015/005 and IGA/FAI/2016/005.
- 2.Habib, T.: Doctoral thesis auditory inspired methods for multiple speaker localization and tracking using a circular microphone array (2011)Google Scholar
- 5.Zwyssig, E.: Speech processing using digital MEMS microphones. Doctor of Philosophy Centre for Speech Technology Research School of Informatics, University of Edinburgh (2013)Google Scholar
- 6.Papez, M., Vlcek K.: Enhanced MVDR beamforming for MEMS microphone array, MCSI, 2015. In: 2015 International Conference on Mathematics and Computers in Sciences and in Industry (MCSI). ISBN: 978-147994324-1Google Scholar
- 7.Bitzer, J., Simmer, K.U.: Superdirective microphone arrays. In: Microphone Arrays, pp. 19–38. Springer (2001)Google Scholar
- 8.Elko, G.W., Meyer, J.: Microphone arrays. In: Springer Handbook of Speech Processing, pp. 1021–1041. Springer (2008)Google Scholar
- 9.Balasem, S., Tiong, S., Koh, S.: Beamforming algorithms technique by using MVDR and LCMV. World Appl. Program. 2(5), 315–324 (2011). http://waprogramming.com/papers/50af7cd413e266.17413401.pdf
- 10.Doblinger, G.: An adaptive microphone array for optimum beamforming and noise reduction. In European Signal Processing Conference (2006)Google Scholar
- 13.Brandstein, M.S., Ward, D.B. (eds.): Microphone Arrays: Signal Processing Techniques and Applications. Springer-Verlag, Heidelberg (2001)Google Scholar
- 14.Benesty, J., Chen, J., Huang, Y.: Springer Topics in signal processing: microphone array signal processing. In: Benesty, J., Kellermann, W. (eds.). Springer, Heidelberg (2008)Google Scholar
- 15.Compton, R.: Adaptive Antennas Concept and Performance. Prentice Hall (2011)Google Scholar
- 16.Bellofiore, S., Foutz, J., Balanis, C.A., Spanias, A.S.: Smart-antenna system for mobile communication networks Part 2: beamforming and network throughput IEEE Antennas Propag. Mag. 44(4) (2002)Google Scholar
- 19.Zhu, G., Xie, H., Zhou, Y., Xie, H., Zhou, Y.: Author ’ s accepted manuscript to appear in : signal processing (2015)Google Scholar
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