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Autonomous Audio-Supported Learning of Visual Classifiers for Traffic Monitoring
May/June 2010 (vol. 25 no. 3)
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

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.

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Index Terms:
vehicle classification, online learning, autonomous traffic monitoring, audio and video processing, intelligent systems
Citation:
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
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