PublicationDetail

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.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.



Edit | Attach | Refresh | Diffs | More | Revision r1.11 - 19 Jul 2016 - 16:26 - NassirNavab

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif