Ing-Jr Ding This email address is being protected from spambots. You need JavaScript enabled to view it.¹

¹Department of Electrical Engineering, National Formosa University, Yunlin County, Taiwan 632, R.O.C

REFERENCES

1. [1] Clavel, C., Ehrette, T. and Richard, G., “Event Detection for an Audio-Based Surveillance System,” Proceedings of IEEE International Conference on Multimedia and Expo, pp. 1306
   1309 (2005).
2. [2] Harma, A., McKinney, M. F. and Skowronek, J., “Automatic Surveillance of the Acoustic Activity in Our Living Environment,” Proceedings of IEEE International Conference on Multimedia and Expo, pp. 634
   637 (2005).
3. [3] Besacier, L., Dufaux, A., Ansorge, M. and Pellandini, F., “Automatic Sound Recognition Relying on Statistical Methods, with Application to Telesurveillance,” Proceedings of International Workshop on Intelligent Communication Technologies and Applications, with Emphasis on Mobile Communications, pp. 116
   120 (1999).
4. [4] Atrey, P. K., Maddage, N. C. and Kankanhalli, M. S., “Audio Based Event Detection for Multimedia Surveillance,” Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 813
   816 (2006).
5. [5] Evans, R. J., Brassington, E. L. and Stennett, C., “Video Motion Processing for Event Detection and Other Applications,” Proceedings of International Conference on Visual Information Engineering, pp. 93
   96 (2003).
6. [6] Albiol, A., Sandoval, C., Naranjo, V. and Mossi, J. M., “Robust Motion Detector for Video Surveillance Applications,” Proceedings of International Conference on Image Processing, Vol. 3, pp. II-379
   382 (2003).
7. [7] Amano, T., Hiura, S., Yamaguti, A. and Inokuchi, S., “Eigen Space Approach for a Pose Detection with Range Images,” Proceedings of International Conference on Pattern Recognition, pp. 622
   626 (1996).
8. [8] DuPont, E. M., Yu, H. and .Roberts, R. G., “Object Pose Detection in the Presence of Background Clutter and Occlusion,” Proceedings of the Thirty-Sixth Southeastern Symposium on System Theory, pp. 446
   450 (2004).
9. [9] Lu, L., Jiang, H. and Zhang, H. J., “A Robust Audio Classification and Segmentation Method,” Proceedings of the 9th ACM International Conference on Multimedia, pp. 203
   211 (2001).
10. [10] Lu, L., Li, S. Z. and Zhang, H. J., “Content-Based Audio Segmentation Using Support Vector Machines,” Proceedings of IEEE International Conference on Multimedia and Expo, pp. 956
    959 (2001).
11. [11] Li, S. Z., “Content-Based Audio Classification and Retrieval Using the Nearest Feature Line Method,” IEEE Transactions on Speech and Audio Processing, Vo1. 8, pp. 619
    625 (2000).
12. [12] Markel, J. D. and Gray, A. H., Linear Prediction of Speech, Springer-Verlag, New York (1976).
13. [13] Rabiner, L. and Juang, B. H., Fundamentals of Speech Recognition, Prentice Hall, New Jersey (1993).
14. [14] Dempster, A. P., Laird, N. M. and Rubin, D. B., “Maximum Likelihood from Incomplete Data via the EM Algorithm,” Journal of the Royal Statistical Society, Vol. 39, pp. 1
    38 (1977).
15. [15] Linde, Y., Buzo, A. and Gray, R. M., “An Algorithm for Vector Quantizer Design,” IEEE Transactions on Communications, Vol. 28, pp. 84
    95 (1980).
16. [16] Fraley, C. and Raftery, A. E., “How Many Clusters? Which Clustering Method? Answers via Model Based Cluster Analysis,” The Computer Journal, Vol. 41, pp. 578
    588 (1998).
17. [17] Yager, R. and Filev, D., Essentials of fuzzy modeling and control, Wiley, New York (1994).
18. [18] Takagi, T. and Sugeno, M., “Fuzzy Identification of Systems and Its Applications to Modeling and Control,” IEEE Transactions on System, Man, and Cybernetics, Vol. 15, pp. 116
    132 (1985).
19. [19] Yen, J., Langari, R. and Zadeh, L. A. (eds.), Industrial applications of fuzzy logic and intelligent systems, IEEE Press, New York (1995).