The Community for Technology Leaders
RSS Icon
Issue No.03 - May/June (2010 vol.25)
pp: 15-23
Horst Bischof , Graz University of Technology, Graz
Martin Godec , Graz University of Technology, Graz
Christian Leistner , Graz University of Technology, Graz
Bernhard Rinner , Klagenfurt University, Klagenfurt
Andreas Starzacher , Klagenfurt University, Klagenfurt
<p>Using acoustic detection and classification of vehicles, the proposed autonomous self-learning framework generates scene adaptive vehicle classifiers without the need to hand label any video data.</p>
vehicle classification, online learning, autonomous traffic monitoring, audio and video processing, intelligent systems
Horst Bischof, Martin Godec, Christian Leistner, Bernhard Rinner, Andreas Starzacher, "Autonomous Audio-Supported Learning of Visual Classifiers for Traffic Monitoring", IEEE Intelligent Systems, vol.25, no. 3, pp. 15-23, May/June 2010, doi:10.1109/MIS.2010.28
1. P. Viola and M. Jones, "Robust Real-Time Object Detection," Int'l J. Computer Vision, 2002, pp. 1–25.
2. A. Klausner et al., "An Audio-Visual Sensor Fusion Approach for Feature Based Vehicle Identification," Proc. 2007 IEEE Int'l Conf. Advanced Video and Signal based Surveillance (AVSS 2007), IEEE CS Press, 2007, pp. 1–6.
3. V. Kastrinaki, M. Zervakis, and K. Kalaitzakis, "A Survey of Video Processing Techniques for Traffic Applications," Image and Vision Computing, vol. 21, no. 4, 2003, pp. 359–381.
4. A. Koutsia et al., "Intelligent Traffic Monitoring and Surveillance with Multiple Cameras," Proc. 6th Int'l Workshop Content-Based Multimedia Indexing, Hindawi Publishing, 2008, pp. 125–132.
5. A. Blum and T. Mitchell, "Combining Labeled and Unlabeled Data with Co-training," Proc. 11th Ann. Conf. Computational Learning Theory, Morgan Kaufmann, 1998, pp. 92–100.
6. A. Levin, P. Viola, and Y. Freund, "Unsupervised Improvement of Visual Detectors Using Co-training," Proc. 9th IEEE Int'l Conf. Computer Vision, vol. 2, IEEE Press, 2003, pp. 626–633.
7. C.M. Christoudias et al., "Co-training with Noisy Perceptual Observations," Proc. IEEE Int'l Conf. on Vision and Pattern Recognition (CVPR 2009), IEEE CS Press, 2009, pp. 1–8.
8. P.M. Roth et al., "Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort," Proc. 27th Deutsche Arbeitsgemeinschaft für Mustererkennung (DAGM) Symp., Springer Verlag, 2005, pp. 293–300.
9. B. Wu and R. Nevatia, "Improving Part Based Object Detection by Unsupervised, Online Boosting," Proc. IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR 2007), IEEE CS Press, 2007, pp. 1–8.
10. A. Starzacher and B. Rinner, "Single Sensor Acoustic Feature Extraction for Embedded Realtime Vehicle Classification," Proc. 2nd Int'l Workshop Sensor Networks and Ambient Intelligence, IEEE Press, 2009, pp. 1–6.
11. A. Starzacher and B. Rinner, "Embedded Realtime Feature Fusion Based on ANN, SVM and NBC," Proc. 12th Int'l Conf. Information Fusion (Fusion 2009), IEEE Press, 2009, pp. 1–8.
12. H. Grabner and H. Bischof, "On-Line Boosting and Vision," Proc. IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR 2006), vol. 1, IEEE CS Press, 2006, pp. 260–267.
13. C. Leistner et al., "On Robustness of Online Boosting: A Competitive Study," Proc. 3rd IEEE Online Learning for Computer Vision Workshop (ICCV 09), IEEE CS Press, 2009, pp. 1362–1369.
14. C. Stauffer and W. Grimson, "Adaptive Background Mixture Models for Real-Time Tracking," Proc. IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR 1999), vol. 1, IEEE CS Press, 1999, pp. 246–252.
5 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool