Abstract
Object detection using AdaBoost cascade classifier was introduced by Viola and Jones in December 2001. This paper presents a modification of their method which allows to obtain even 4-fold decrease in false rejection rate, keeping false acceptance rate – as well as the classifier size and training time – at the same level. Such an improvement is achieved by extending original family of weak classifiers, which is searched through in every step of AdaBoost algorithm, with classifiers calculating absolute value of contrast.
Test results given in the paper come from a face localization problem, but the idea of absolute contrasts can be applied to detection of other types of objects, as well.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55(1), 119–139 (1997)
Schapire, R.E., et al.: Boosting the margin: a new explanation for the effectiveness of voting methods. In: Proc. 14th International Conference on Machine Learning, pp. 322–330. Morgan Kaufmann, San Francisco (1997)
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: IEEE Computer Vision and Pattern Recognition, vol. 1, pp. 511–518. IEEE Computer Society Press, Los Alamitos (2001)
Xiao, R., Li, M.J., Zhang, H.J.: Robust multipose face detection in images. IEEE Trans. Circuits and Systems for Video Technology 14(1), 31–41 (2004)
Skarbek, W., Kucharski, K.: Image object localization by adaboost classifier. In: Campilho, A., Kamel, M. (eds.) ICIAR 2004. LNCS, vol. 3212, pp. 511–518. Springer, Heidelberg (2004)
Papageorgiou, C.P., Oren, M., Poggio, T.: A general framework for object detection. In: International Conference on Computer Vision, pp. 555–562 (1998)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Wojnarski, M. (2007). Absolute Contrasts in Face Detection with AdaBoost Cascade. In: Yao, J., Lingras, P., Wu, WZ., Szczuka, M., Cercone, N.J., Ślȩzak, D. (eds) Rough Sets and Knowledge Technology. RSKT 2007. Lecture Notes in Computer Science(), vol 4481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72458-2_21
Download citation
DOI: https://doi.org/10.1007/978-3-540-72458-2_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72457-5
Online ISBN: 978-3-540-72458-2
eBook Packages: Computer ScienceComputer Science (R0)