Vehicle classification on multi-sensor smart cameras using feature- and decision-fusion

2007 1st ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC

Volumn , Issue , 2007, Pages 67-74

  Klausne, Andreas ^a   Tengg, Allan ^a   Rinner, Bernhard ^b  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^b UNIVERSITY OF KLAGENFURT   (Austria)

Author keywords

Multi level fusion; Sensor data fusion; Smart camera; Traffic surveillance; Vehicle classification

Indexed keywords

AUTOMOBILE PARTS AND EQUIPMENT; CAMERAS; CLASSIFICATION (OF INFORMATION); DETECTORS; FEATURE EXTRACTION; FUSION REACTIONS; INFORMATION FUSION; NUCLEAR PHYSICS; SENSOR DATA FUSION; SENSORS; SUPPORT VECTOR MACHINES; TELECOMMUNICATION EQUIPMENT; VEHICLES;

'SMART' CAMERAS; CASE STUDIES; DATA ABSTRACTIONS; DECISION MODELING; DEMPSTER SHAFER (DS); DISTRIBUTED SMART CAMERAS; FEATURE BASED; FEATURE SELECTION ALGORITHMS; FUSION MODELS; INFRARED (IR); INTERNATIONAL CONFERENCES; MULTI LEVEL (ML); MULTI SENSORS; ON-LINE DATA; SOFTWARE FRAMEWORKS; SUPPORT VECTOR MACHINES ((SVM)); VEHICLE CLASSIFICATION; VISION-BASED; VISUAL FEATURE EXTRACTION;

DATA FUSION;

EID: 47349087816     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDSC.2007.4357507     Document Type: Conference Paper

References (19)

1. A. Klausner, B. Rinner, and A. Tengg, "I-SENSE: Intelligent embedded multi-sensor fusion," in Proceedings of the 4th IEEE International Workshop on Intelligent Solutions in Embedded Systems (WISES), Vienna, Austria, June 2006, pp. 105-116.
2. A. Klausner, A. Tengg, and B. Rinner, "Enhanced Least Squares Support Vector Machines for Decision Modeling in a Multi-Sensor Fusion Framework," in Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition (AIPR-07), Orlando, US, July 2007.
3. A. Klausner, A. Tengg, C. Leistner, S. Erb, and B. Rinner, "An audio-visual sensor fusion approach for feature based vehicle identification," in Proceedings of the International Conference on Advanced Video and Signal based Surveillance (AVSS-07), London, GB, September 2007.
4. Michael Bramberger, Andreas Doblander, Arnold Maier, Bernhard Rinner, and Helmut Schwabach, "Distributed Embedded Smart Cameras for Surveillance Applications," Computer, vol. 39, no. 2, pp. 68-75, Feb. 2006.
5. R. Chellappa, G. Qian, and Q. Zheng, "Vehicle detection and tracking using acoustic and video sensors," IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004.(ICASSP 04), vol. 3, pp. 793-796, 2004.
6. H. Durrant-Whyte and M. Stevens, "Data fusion in decentralised sensing networks," in Proceedings of the International Conference on Information Fusion, 2001, 2001, vol. 3, pp. 19-24.
7. B. Moshiri, M. R. Asharif, and R. Hosein Nezhad, "Pseudo information measure: A new concept for extension of bayesian fusion in robotic map building," Information Fusion, vol. 3, no. 1, pp. 5 1-68, 2002.
8. V. Koval, V. Turchenko, V. Kochan, A. Sachenko, and G. Markowsky, "Smart license plate recognition system based on image processing using neural network," in Proceedings of the Second IEEE International Workshop on Advanced Computing Systems: Technology and Applications, 2003, 2003, pp. 123-127.
9. A.H. Gunatilaka and B.A. Baertlein, "Feature-level and decision-level fusion of noncoincidently sampled sensors for land mine detection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 577-589, June 2001.
10. P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features," IEEE,vol. 1, pp. 511-518, vol. 1, no. 3, pp. 511-518, 2001.
11. Robert E. Shapire and Yoram Singer, "Improved boosting algorithms using confidence-rated predictions," Machine Learning, vol. 37, no. 3, pp. 297-336, 1999.
12. A. Klausner, A. Tengg, S. Erb, and B. Rinner, "Dsp based acoustic vehicle classification for multi-sensor real-time traffic surveillance," in Proceedings of EUSIPCO 07, Poznań, Poland, September 2007.
13. M.E. Hohil, J.R. Heberley, J. Chang, and A. Rotolo, "Vehicle counting and classification algorithms for unattended acoustic sensors," SPIE - The International Society for Optical Engineering, vol. 5019, pp. 99-1 10, 2003.
14. L. Rabiner and R.W. Schafer, Digital Processing of Speech Signals, Prentice hall, Englewood Cliffs, NJ, USA, 1978.
15. S. Theodoridis and K. Koutroumbas, Pattern Recognition, Elsevier Academic Press, San Diego, US, 2006.
16. M. Mitchell, An introduction to genetic algorithms, MIT Press, Cambridge, MA, 1996.
17. V Vapnik, Statistical Learning Theory, Wiley, New York, US, 1998.
18. A. P. Dempster, "A generalization of bayesian inference," Journal of the Royal Statistical Society, vol. 30, pp. 205-247, 1968.
19. J.A.K Suykens, P. Van Dooren, B. De Moor, and J. Vandewalle, "Least squares support vector machine classifiers: a large scale algorithm," European Conference on Circuit Theory and Design (ECCTD'99), pp. 839-842, 1999.