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An extended set of Haar-like features for rapid objection detection-英文文献
An Extended Set of Haar-like Features for Rapid Object Detection
Rainer Lienhart and Jochen Maydt
Intel Labs, Intel Corporation, Santa Clara, CA 95052, USA
Rainer.Lienhart@
ABSTRACT W
Recently Viola et al. [5] have introduced a rapid object detection Window h w
scheme based on a boosted cascade of simple feature classifiers. In w
this paper we introduce a novel set of rotated haar-like features.
These novel features significantly enrich the simple features of [5] h w H
and can also be calculated efficiently. With these new rotated
features our sample face detector shows off on average a 10% lower
false alarm rate at a given hit rate. We also present a novel post upright rectangle h
optimization procedure for a given boosted cascade improving on
average the false alarm rate further by 12.5%. 45° rotated rectangle
1 Introduction Fig. 1.Example of an upright and 45° rotated rectangle.
Recently Viola et al. have proposed a multi-stage classification
procedure that reduces the processing time substantially while chosen.
achieving almost the same accuracy as compared to a much slower This raw feature set is (almost) infinitely large. For practical reasons,
a
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