Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

L. Walchshäusl, R. Lindl
Multi-Sensor Classification using a boosted Cascade Detector
IEEE Intelligent Vehicles Symposium, Istanbul, Turkey, June 13-15, 2007 (bib)

This paper provides a description of a new lowlevel feature-fusion approach for real-time object recognition utilising an arbitrary number of imaging sensors and based on a boosted cascade of simple features [1]. The approach is demonstrated by means of a vehicle detection system. The application utilises laser scanner responses for hypotheses generation and low-level features from both colour and far infrared images for hypotheses classification. A first evaluation shows promising results.
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