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Add bib reference for overall hitrate and false alarm rate for the train cascade user guide (OpenCV 2.4).
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# '''[Teh89]''' C.H. Teh, R.T. Chin. On the Detection of Dominant Points on Digital Curves. - IEEE Tr. PAMI, 1989, v.11, No.8, p. 859-872.
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# '''[Trucco98]''' Emanuele Trucco, Alessandro Verri. Introductory Techniques for 3-D Computer Vision. Prentice Hall, Inc., 1998.
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# '''[Viola01]''' Paul Viola and Michael J. Jones. Rapid Object Detection using a Boosted Cascade of Simple Features. IEEE CVPR, 2001.<<BR>> The paper is available online at http://www.ai.mit.edu/people/viola/
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# '''[Viola04]''' Paul Viola and Michael J. Jones. Robust real-time face detection. International Journal of Computer Vision, 57(2):137–154, 2004.<<BR>> The paper is available online at http://www.vision.caltech.edu/html-files/EE148-2005-Spring/pprs/viola04ijcv.pdf
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# '''[Welch95]''' Greg Welch, Gary Bishop. An Introduction To the Kalman Filter. Technical Report TR95-041, University of North Carolina at Chapel Hill, 1995.<<BR>> Online version is available at http://www.cs.unc.edu/~welch/kalman/kalmanIntro.html
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# '''[Williams92]''' D. J. Williams and M. Shah. A Fast Algorithm for Active Contours and Curvature Estimation. CVGIP: Image Understanding, Vol. 55, No. 1, pp. 14-26, Jan., 1992. http://www.cs.ucf.edu/~vision/papers/shah/92/WIS92A.pdf.
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# '''[Yuen03]''' H.K. Yuen, J. Princen, J. Illingworth and J. Kittler. Comparative study of Hough Transform methods for circle finding.<<BR>>http://www.sciencedirect.com/science/article/B6V09-48TCV4N-5Y/2/91f551d124777f7a4cf7b18325235673
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@ -326,11 +326,11 @@ Command line arguments of ``opencv_traincascade`` application grouped by purpose
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* ``-minHitRate <min_hit_rate>``
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Minimal desired hit rate for each stage of the classifier. Overall hit rate may be estimated as (min_hit_rate^number_of_stages).
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Minimal desired hit rate for each stage of the classifier. Overall hit rate may be estimated as (min_hit_rate ^ number_of_stages) [Viola2004]_.
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* ``-maxFalseAlarmRate <max_false_alarm_rate>``
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Maximal desired false alarm rate for each stage of the classifier. Overall false alarm rate may be estimated as (max_false_alarm_rate^number_of_stages).
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Maximal desired false alarm rate for each stage of the classifier. Overall false alarm rate may be estimated as (max_false_alarm_rate ^ number_of_stages) [Viola2004]_.
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* ``-weightTrimRate <weight_trim_rate>``
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@ -362,7 +362,9 @@ After the ``opencv_traincascade`` application has finished its work, the trained
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Training is finished and you can test you cascade classifier!
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.. [Viola2001] Paul Viola, Michael Jones. *Rapid Object Detection using a Boosted Cascade of Simple Features*. Conference on Computer Vision and Pattern Recognition (CVPR), 2001, pp. 511-518.
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.. [Viola2001] Paul Viola, Michael J. Jones. *Rapid Object Detection using a Boosted Cascade of Simple Features*. Conference on Computer Vision and Pattern Recognition (CVPR), 2001, pp. 511-518.
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.. [Viola2004] Paul Viola, Michael J. Jones. *Robust real-time face detection*. International Journal of Computer Vision, 57(2):137–154, 2004.
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.. [Rainer2002] Rainer Lienhart and Jochen Maydt. *An Extended Set of Haar-like Features for Rapid Object Detection*. Submitted to ICIP2002.
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