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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Schlosshauer, J. Giesecke, N. Fardi, B. Fardi, B. Wanielik, G. |
| Copyright Year | 2008 |
| Description | Author affiliation: FusionSystems GmbH, Chemnitz (Schlosshauer, J.; Fardi, B.) || Professorship of Commun. Eng., Chemnitz Univ. of Technol., Chemnitz (Giesecke, N.; Fardi, B.; Wanielik, G.) |
| Abstract | In this contribution a real time capable pedestrian recognition system is presented. The AdaBoost based cascade approach is applied and enhanced. A special implementation of the feature extraction algorithms yields to a remarkable increasing of the computation efficiency. Furthermore the AdaBoost classifier uses decision trees as basic classifiers (weak learner). Therefore, the computational costs are reduced in addition without penalizing the classification performance. The details of the implementation, the computational costs as well as the classification results of real scenarios are presented. The presented work is part of the WATCH-OVER project. |
| Starting Page | 69 |
| Ending Page | 74 |
| File Size | 505406 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424423590 |
| DOI | 10.1109/ICVES.2008.4640873 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-22 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Training Standardization vulnerable road user protection Feature extraction Classification algorithms Table lookup pedestrian recognition Pixel |
| Content Type | Text |
| Resource Type | Article |
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