Abstract
Conventional face detection techniques usually employ sliding window based approaches involving series of classifiers to accurately determine the position of the face in an input image resulting in high computational redundancy. Pre-processing techniques are being investigated to reduce the search space for face detection. In this paper, we propose a systematic approach to reduce the search space for face detection using head and shoulder curves. The proposed method includes Gradient Angle Histograms (GAH) that are applied in a block-based manner to detect these curves, which are further associated to determine the search space for face detection. A performance evaluation of the proposed method on the datasets (CASIA and Buffy) shows that an average search space reduction upto 80% is achieved with detection rates of over 90% for specific parameters of the dataset.
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Zhang, C., Zhang, Z.: A survey of recent advances in face detection. Technical Report Microsoft Research (2010)
Viola, P., Jones, M.: Robust real-time face detection. In: IEEE ICCV, vol. 2, pp. 747–747 (2001)
Sznitman, R., Jedynak, B.: Active testing for face detection and localization. IEEE Trans. PAMI 32(10), 1914–1920 (2010)
Xu, D., Chen, Y.L., Wu, X., Ou, Y., Xu, Y.: Integrated approach of skin-color detection and depth information for hand and face localization. In: 2011 IEEE Intl. Conf. on Robotics and Biomimetics (ROBIO), pp. 952–956 (2011)
He, F., Li, Y., Wang, S., Ding, X.: A novel hierarchical framework for human head-shoulder detection. In: 4th Intl. Cong. on Img. & Sig. Proc., vol. 3, pp. 1485–1489. IEEE (2011)
Sun, Y., Wang, Y., He, Y., Hua, Y.: Head-and-shoulder detection in varying pose. In: Wang, L., Chen, K., S. Ong, Y. (eds.) ICNC 2005. LNCS, vol. 3611, pp. 12–20. Springer, Heidelberg (2005)
Satzoda, R.K., Suchitra, S., Srikanthan, T.: Gradient angle histograms for efficient linear hough transform. In: 16th IEEE Intl. Conf. on Img. Proc. (ICIP), pp. 3273–3276 (2009)
Kolesnikov, A.: Constrained piecewise linear approximation of digital curves. In: 19th Intl. Conf. Pat. Rec (ICPR), pp. 1–4. IEEE (2008)
Zucker, S.W., David, C., Dobbins, A., Iverson, L.: The organization of curve detection: Coarse tangent fields and fine spline coverings. In: 2nd Intl. Conf. on Comp. Vis., pp. 568–577 (1988)
Gonzalez, R.C., Woods, R.E.: Digital image processing, vol. 2 (2009)
Ferrari, V., Eichner, M., Marin-Jimenez, M., Zisserman, A.: Buffy stickmen v 3.01 dataset
Chinese Academy of Sciences Institute of Automation, C.A.: CASIA-FaceV5 dataset
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Sathyanarayana, S., Satzoda, R.K., Sathyanarayana, S., Thambipillai, S. (2014). Block-Based Search Space Reduction Technique for Face Detection Using Shoulder and Head Curves. In: Klette, R., Rivera, M., Satoh, S. (eds) Image and Video Technology. PSIVT 2013. Lecture Notes in Computer Science, vol 8333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53842-1_33
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DOI: https://doi.org/10.1007/978-3-642-53842-1_33
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