A new SVM algorithm and AMR sensor based vehicle classification

2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009

Volumn 2, Issue , 2009, Pages 421-425

  Feng, Zhou ^a   Mingzhe, Wang ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

AMR sensor; SVM; Vehicle classification

Indexed keywords

AMR SENSORS; ANISOTROPIC MAGNETORESISTIVE SENSORS; CLASSIFICATION ALGORITHM; EARTH MAGNETIC FIELDS; KERNEL FUNCTION; MODEL PARAMETERS; SAMPLE DATA; SUPPORT VECTOR MACHINE ALGORITHM; SVM ALGORITHM; VEHICLE CLASSIFICATION;

COMPUTER SCIENCE; ELECTRIC MEASURING INSTRUMENTS; GEOMAGNETISM; INTELLIGENT COMPUTING; LEARNING ALGORITHMS; MAGNETIC FIELDS; SUPPORT VECTOR MACHINES; VEHICLES; WATER METERS;

SENSORS;

EID: 71949096975     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICTA.2009.337     Document Type: Conference Paper

References (10)

1. Aubin S, Plainchault P, Ieng S-S, et al. "Sensor Technologies to Follow Vehicles for ITS" ITS Telecommunications Proceedings, 2006 6th International Conference on June 2006, pp.870-873
2. Caruso M J, B ratland T. "A new perspective on magnetic field sensing" Sensors, 1998, 15 (12),34-46
3. Gajda J, Sroka R, Stcncel M, et al. "A Vehicle Classification Based on Inductive Loop Detectors" Proccedings of the 18th IEEE. IMTC, Budapest. 2001, pp.460-464.
4. Phan T, Kwan B W, Tung L J. "Magnetoresistors for vehicle detection and identification" IEEE International Conference on Volume 4, 12-15 Oct. 1997
5. V. N. Vapnik, Statistical Learning Theory. New York: Wiley, 1998.
6. V. N. Vapnik, Statistical Learning Theory. New York: Wiley, 1998.
7. G Guo, S Z Li, K L "Chan.Support vector machines for face recognition" Image and Vision Computing, 2001; 19, pp.631-638
8. Peter G. V. Axelberg, Irene Yu-Hua Gu. "Support Vector Machine for Classification of Voltage Disturbances" IEEE Transactions on power delivery, VOL. 22, NO. 3, JULY 2007 pp.1297-1303
9. N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines. Cambridge, MA: Cambridge Univ. Press, 2000.
10. Chang C C, Lin C J. LIBSVM: a Library for Support Vector Machines(Version2.3)[EB/OL].[2001-06-08]. http://www.csie.ntu.edu.tw//~cjlin/ papers/libsvm.pdf