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Erschienen in:
2008 | OriginalPaper | Buchkapitel
A Performance Evaluation of Single and Multi-feature People Detection
verfasst von : Christian Wojek, Bernt Schiele
Erschienen in: Pattern Recognition
Verlag: Springer Berlin Heidelberg
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Over the years a number of powerful people detectors have been proposed. While it is standard to test complete detectors on publicly available datasets, it is often unclear how the different components (e.g. features and classifiers) of the respective detectors compare. Therefore, this paper contributes a systematic comparison of the most prominent and successful people detectors. Based on this evaluation we also propose a new detector that outperforms the state-of-art on the INRIA person dataset by combining multiple features.