Referenced Items are not available for this document.
In this paper we present our research work in traffic sign detection and classification. Specifically we present a set of asymmetric Haar-like features that will be shown to be effective in reducing false alarm rates for traffic sign detection, and a robust multi-class traffic sign detection and classification system built based upon the stage-by-stage performance analysis of individual traffic sign detectors trained using Adaboost.
Published in:
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Date of Conference: 11-14 Oct. 2009
- Page(s):
- 3421 - 3427
- ISSN :
- 1062-922X
- E-ISBN :
- 978-1-4244-2794-9
- Print ISBN:
- 978-1-4244-2793-2
- INSPEC Accession Number:
- 11004134
- Conference Location :
- San Antonio, TX
- Digital Object Identifier :
- 10.1109/ICSMC.2009.5346196
- Product Type:
- Conference Publications
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