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- Document type:
- Konferenzbeitrag
- Author(s):
- Walchshäusl, L.; Lindl, R.
- Title:
- Multi-Sensor Classification using a boosted Cascade Detector
- Abstract:
- 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.
- Keywords:
- sensor fusion,vehicle detection,classification,cascade detector,FAR,CAMPAR,ResearchIssueSensing
- Book / Congress title:
- Proceedings of the 2007 IEEE Intelligent Vehicles Symposium
- Publisher:
- Ieee
- Year:
- 2007
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