Empirical analysis of detection cascades of boosted classifiers for rapid object detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2781, Issue , 2003, Pages 297-304

  Lienhart, Rainer ^a   Kuranov, Alexander ^a   Pisarevsky, Vadim ^a  

^a INTEL CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; CLASSIFICATION (OF INFORMATION); COMPUTER VISION; FACE RECOGNITION; OBJECT DETECTION; OBJECT RECOGNITION; PATTERN RECOGNITION;

BOOSTED CLASSIFIERS; BOOSTING ALGORITHM; COMPUTER VISION LIBRARY; DETECTION PERFORMANCE; DETECTION SYSTEM; EMPIRICAL ANALYSIS; FEATURE CLASSIFIERS; HAAR-LIKE FEATURES;

FEATURE EXTRACTION;

EID: 35248892096     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45243-0_39     Document Type: Article

References (8)

1. Y. Freund and R. E. Schapire. Experiments with a new boosting algorithm. In Machine Learning: Proceedings of the Thirteenth International Conference, Morgan Kauman, San Francisco, pp. 148-156, 1996.
2. Stan Z. Li, Long Zhu, ZhenQiu Zhang, Andrew Blake, HongJiang Zhang, and Harry Shum. Statistical Learning of Multi-View Face Detection. In Proceedings of The 7th European Conference on Computer Vision. Copenhagen, Denmark. May, 2002.
3. Rainer Lienhart and Jochen Maydt. An Extended Set of Haar-like Features for Rapid Object Detection. IEEE ICIP 2002, Vol. 1, pp. 900-903, Sep. 2002.
4. A. Mohan, C. Papageorgiou, T. Poggio. Example-based object detection in images by components. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 4, pp. 349-361, April 2001.
5. C. Papageorgiou, M. Oren, and T. Poggio. A general framework for Object Detection. In International Conference on Computer Vision, 1998.
6. Paul Viola and Michael J. Jones. Rapid Object Detection using a Boosted Cascade of Simple Features. IEEE CVPR, 2001.
7. H. Rowley, S. Baluja, and T. Kanade. Neural network-based face detection. In IEEE Patt. Anal. Mach. Intell., Vol. 20, pp. 22-38, 1998.
8. Open Computer Vision Library. http:/sourceforge.net/projects/opencvlibrary/