Asynchronous data-driven classification of weapon systems

Measurement Science and Technology

Volumn 20, Issue 12, 2009, Pages

  Jin, Xin ^a   Mukherjee, Kushal ^a   Gupta, Shalabh ^a   Ray, Asok ^a   Phoha, Shashi ^a   Damarla, Thyagaraju ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

Language measure; Pattern classification; Support vector machine; Symbolic dynamic filtering; Weapon systems

Indexed keywords

ACOUSTIC DATA; ASYNCHRONOUS DATA; CLASSIFICATION ALGORITHM; FIELD DATA; LANGUAGE MEASURE; LOW MEMORY; NETWORKED SENSORS; PATTERN CLASSIFICATION; POTENTIAL APPLICATIONS; SHOOTER LOCALIZATION; SYMBOLIC DYNAMIC FILTERING; TIME-SERIES DATA; WEAPON SYSTEM;

ALGORITHMS; IMAGE RETRIEVAL; LINGUISTICS; SENSOR NETWORKS; SENSORS; SUPPORT VECTOR MACHINES;

FEATURE EXTRACTION;

EID: 72149103291     PISSN: 09570233     EISSN: 13616501     Source Type: Journal    
DOI: 10.1088/0957-0233/20/12/123001     Document Type: Article

References (17)

1. Maher R C 2007 Acoustical characterization of gunshots Proc. SAFE 2007 (Washington, DC, IEEE Signal Processing Society, 11-13 April 2007) pp 109-113
2. Lédeczi A, Ndas A, Völgyesi P, Balogh G, Kusy B, Sallai J, Pap G, Dóra S and Molnr K 2005 Countersniper system for urban warfare ACM Trans. Sensor Netw. 1 153-77
3. Stoughton R B 1997 SAIC Sentinel acoustic counter-sniper system Proc. SPIE 2938 276-84
4. Sadler B M, Pham T and Sadler L C 1998 Optimal and wavelet-based shock wave detection and estimation J. Acoust. Soc. Am. 104 955-63
5. Duckworth G, Barger J, Carlson S, Gilbert D, Knack M, Korn J and Mullen R 1999 Fixed and wearable acoustic counter-sniper systems for law enforcement Proc. SPIE 3577 210-30
6. Volgyesi P, Balogh G, Nadas A, Nash C and Ledeczi A 2007 Shooter localization and weapon classification with soldier-wearable networked sensors Proc. MobiSys '07 (11-14 June 2007, San Juan, Puerto Rico) pp 113-26
7. Damarla T, Whipps G and Kaplan L 2008 Sniper localization for asynchronous sensors Proc. 26th Army Science Conf. (1-4 December 2008, Orlando, FL) Paper No. AP-03
8. Ray A 2004 Symbolic dynamic analysis of complex systems for anomaly detection Signal Process. 84 1115-30
9. Gupta S and Ray A 2009 Symbolic dynamic filtering for data-driven pattern recognition Pattern Recognition: Theory and Application (Hauppage, NY: Nova Science) chapter 5 pp 17-71
10. Ray A 2005 Signed real measure of regular languages for discrete-event supervisory control Int. J. Control 78 949-67
11. Chattopadhyay I and Ray A 2006 Renormalized measure of regular languages Int. J. Control 79 1107-17 (Pubitemid 44034498)
12. Bishop C M 2006 Pattern Recognition and Machine Learning (Berlin: Springer)
13. Vapnik V 1998 Statistical Learning Theory (New York: Wiley)
14. Subbu A and Ray A 2008 Space partitioning via Hilbert transform for symbolic time series analysis Appl. Phys. Lett. 92 084107
15. Bapat R B and Raghavan T E S 1997 Nonnegative Matrices and Applications (Cambridge: Cambridge University Press)
16. Cortes C and Vapnik V 1995 Support-vector networks Mach. Learn. 20 273-97
17. Ratches J, Walters C, Buser R and Guenther B 1997 Aided and automatic target recognition based upon sensory inputs from image forming systems IEEE Trans. Pattern Anal. Mach. Intell. 19 1004-19