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http://dx.doi.org/10.7840/kics.2014.39C.1.60

Footstep Detection in Noisy Environment via Non-Linear Spectral Subtraction and Cross-Correlation  

Kim, Tae-Bok (LIG넥스원 PGM 연구센터/고려대학교 영상정보처리학과 지능신호처리 연구실)
Ko, Hanseok (고려대학교 영상정보처리학과 지능신호처리 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.39C, no.1, 2014 , pp. 60-69 More about this Journal
Abstract
Footstep detection using seismic sensors for security is a very meaningful task, but readings can easily fluctuate due to noise in outdoor environment. We propose NSSC method based on nonlinear spectral subtraction and cross-correlation using prime footstep model signal as a footstep signal refining process that enhances the signal-to-noise ratio (SNR) and attenuates noise. After de-noising, a detection event classification method is presented as further refining process to ensure that the detection result is a footstep. To validate the proposed algorithm, representative experiments including sunny and rainy-day cases are demonstrated.
Keywords
Seismic; Footstep; Nonlinear Sepctral Subtraction; Correlation; Detection; Classification;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 D. K. Wilson, D. H. Marlin, and S. Mackay, "Acoustic/seismic signal propagation and sensor performance modeling," in Proc. SPIE, vol. 6201, 2006.
2 H. Amick. "A frequency-dependent soil propagation model," SPIE Conf. on Current Developments in Vibration Control for Optomechanical Systems, Jul. 1999.
3 G. Succi et. al., "Problems in seismic detection and tracking," in Proc. SPIE, 4040, pp. 165-173, Jul. 2000.
4 G. Succi, D. Clapp, R. Gampert, and G. Prado, "Footstep detection and tracking," in Proc. SPIE, vol. 4393, pp. 22-29, 2001
5 L. Peck and J. Lacombe, "Seismic-based personnel detection," IEEE, pp. 169-175, Oct. 2007.
6 J. Lacombe, L. Peck, T. Anderson, and D. Fisk, "Seismic detection algorithm and sensor deployment recommendations for perimeter security," in Proc. SPIE, vol. 6231, 2006.
7 K. M. Houston and D. P. McGaffigan, "Spectrum analysis techniques for personnel detection using seismic sensors," in Proc. SPIE vol. 5090, 2003.
8 A. Pakhomov, A. Sicignano, M. Sandy, and T. Goldburt, "Seismic footstep signal characterization," in Proc. SPIE, vol. 5071, pp. 297-305, 2003.
9 A. Pakhomov, A. Sicignano, M. Sandy, and T. Goldburt, "A novel method for footstep detection with an extremely low false alarm rate," in Proc. SPIE, vol. 5611, 2004.
10 A. Pakhomov and T. Goldburt, "Seismic signals and noise assessment for foot step detection range estimation in different environments," in Proc. SPIE, vol. 5417, 2004.
11 A. Pakhomov, A. Sicignano, Matt Sandy, and T. Goldburt "Current seismic sensor issues for defense and security applications," in Proc. SPIE, vol. 5403, 2004.
12 A. Pakhomov and T. Goldburt, "New seismic sensors for footstep detection and other military applications," in Proc. SPIE, vol. 5403, 2004.
13 A. Pakhomov and T. Goldburt, "Seismic systems for unconventional target detection and identification," in Proc. SPIE, vol. 6217, 2006.
14 A. Pakhomov and T. Goldburt, "Zero false alarm seismic detection and identification systems," in Proc. SPIE, vol. 6943, 2008.
15 A. Ekimov and J. M. Sabatier, "Orthogonal sensor suite and the signalprocessing algorithm for human detection and discrimination," in Proc. SPIE, vol. 7303, 2009.
16 J. M. Sabatier and A. E. Ekimov, "Range limitation for seismic footstep detection," in Proc. SPIE, vol. 6963, 2008.
17 J. M. Sabatier and A. E. Ekimov, "A review of human signatures in urban environments using seismic and acoustic methods," IEEE, pp. 215-220, May 2008.
18 H. O. Park, A. A. Dibazar, and T. W. Berger, "Cadence analysis of temporal gait patterns for seismic discrimination between human and quadruped footsteps," ICASSP 2009, pp. 1749-1752, Apr. 2009.
19 S. Schumer, "Time domain classification of humans using seismic sensors," in Proc. SPIE, vol. 7693, May 2010.
20 Y. Tian, H. Qi, and X. Wang, "Target detection and classification using seismic signal processing in unattended ground sensor systems," ICASSP 2002, 2002.
21 S. F. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. ASSP, vol. 27(2), pp. 113-120, 1979.
22 H. Xing, F. Li, Y. Liu, "Wavelet denoising and feature extraction of seismic signal for footstep detection," in Proc. 2007 Int'l Conf. on Wavelet Analysis and Pattern Recognition, 2007.
23 A. Pakhomov, A. Sicigmo, M. Sandy, and E. T. Goldburt, "Single and three axis geophone: Footstep detection with bearing estimation, Localization and Tracking," in Proc. SPIE. vol. 5090, p. 155, Sept. 2003.
24 K. E. Speller and D. Yu, "A low-noise MEMS accelerometer for Unattended Ground Sensor applications," in Proc. SPIE, vol. 5417, p. 63, 2004.
25 M. Berouti, R. Schwartz, and J. Makhoul, "Enhancement of speech corrupted by acoustic noise," in Proc. ICASSP, pp. 208-11, 1979.
26 S. V. Vaseghi. "Advanced digital signal processing and noise reduction 3th ed.," John Wiley & Sons, 2006.
27 N. Evans, "An assessment on the fundamental limitations of spectral subtraction," in Proc. IEEE, May 2006.
28 R. M. Udrea, D.N. Vizireanu, and I. Pirnog, "A perceptual approach for noise reduction using nonlinear spectral subtraction," TELSIKS 2007, pp. 649-652, Sept. 2007.
29 L. L. Scharf, Statistical signal processing: Detection, estimation, and time series analysis, Addison-Wesley, 1991.
30 K. N. Le, "On noise robustness of the Mexican-hat and hyperbolic wavelets with an experiment on chaos detection," J. Sound and Vibration, vol. 315, no. 1-2, pp. 343-364, Aug. 2008.   DOI   ScienceOn
31 J. Beh and H. Ko, "Spectral subtraction using spectral harmonics for robust speech recognition in car environments," J. Acoustical Society of Korea, vol. 22, no. 2E, pp. 62-68, Jun. 2003.   과학기술학회마을
32 K. N. Le, K. P. Dabke, and G. K. Egan, "On mathematical derivations of auto-term functions and signal-to-noise ratios of Choi-Williams, first- and nth-order hyperbolic kernels," J. Digital Signal Processing, vol. 16, no. 1, pp. 84-104, Jan. 2006.   DOI   ScienceOn