DocumentCode :
2327572
Title :
An extended set of Haar-like features for rapid object detection
Author :
Lienhart, Rainer ; Maydt, Jochen
Author_Institution :
Intel Labs., Intel Corp., Santa Clara, CA, USA
Volume :
1
fYear :
2002
fDate :
2002
Abstract :
Recently Viola et al. [2001] have introduced a rapid object detection. scheme based on a boosted cascade of simple feature classifiers. In this paper we introduce a novel set of rotated Haar-like features. These novel features significantly enrich the simple features of Viola et al. 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 optimization procedure for a given boosted cascade improving on average the false alarm rate further by 12.5%.
Keywords :
Haar transforms; face recognition; feature extraction; image classification; object detection; Haar-like features; boosted cascade; false alarm rate; feature classifiers; hit rate; multi-stage classification; post optimization procedure; rapid object detection; sample face detector; Chromium; Detectors; Face detection; Humans; Object detection; Prototypes; Table lookup; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7622-6
Type :
conf
DOI :
10.1109/ICIP.2002.1038171
Filename :
1038171
Link To Document :
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