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Highly Efficient Face Detection in Color Images

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Advances in Multimedia Information Processing - PCM 2008 (PCM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5353))

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Abstract

A highly efficient algorithm for image-based face detection is proposed in this paper, whose features include a fast and regular search method, a local histogram equalization of face candidates, and a frontal face classifier. Experimental results show that the proposed algorithm works efficiently with different types of images. Besides, the average detection rate is 92%, and the required execution time is about 90ms/frame.

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References

  1. Theocharides, T., Link, G., Vijaykrishnan, N., Irwin, M., Wolf, W.: Embedded hardware face detection. In: Proceedings of the 17th International Conference on VLSI Design (VLSID 2004), pp. 133–138 (2004)

    Google Scholar 

  2. Hori, Y., Kuroda, T.: A 0.79-mm2 29-mW real-time face detection core. IEEE Journal of solid-state circuits 42, 790–797 (2007)

    Article  Google Scholar 

  3. Smach, F., Atri, M., Miteran, J., Abid, M.: Design of a neural networks classifier for face detection. Journal of Computer Science 2, 257–260 (2006)

    Article  Google Scholar 

  4. Maio, D., Maltoni, D.: Real-time face location on gray-scale static images. Pattern Recognition 33, 1525–1539 (2000)

    Article  Google Scholar 

  5. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 511–518 (December 2001)

    Google Scholar 

  6. Hsu, R.-L., Abdel-Mottaleb, M., Jain, A.: Face detection in colour images. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(5), 696–706 (2002)

    Article  Google Scholar 

  7. Lai, W.-H., Li, C.-T.: Skin colour-based face detection in colour images. In: Proceedings of IEEE International Conference on Video and Signal Based Surveillance, p. 56 (November 2006)

    Google Scholar 

  8. Chen, T.-W., Chan, W.-K., Chien, S.-Y.: Efficient face detection with segmentation and feature-based face scoring in surveillance systems. In: Proceedings of IEEE International Workshop on Multimedia Signal Processing, pp. 215–218 (October 2007)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Media IC and System Lab Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University, BL-421, No. 1, Sec. 4, Roosevelt Rd., Taipei, 106, Taiwan

    Tse-Wei Chen, Chi-Sun Tang & Shao-Yi Chien

Authors
  1. Tse-Wei Chen
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  2. Chi-Sun Tang
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  3. Shao-Yi Chien
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Editor information

Editors and Affiliations

  1. Department of Engineering Science, National Cheng Kung University, No.1, University Road, 701, Tainan City, Taiwan

    Yueh-Min Ray Huang

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95, Zhongguancun East Road, 100190, Beijing, China

    Changsheng Xu

  3. Institute of Biomedical Engineering, National Cheng Kung University, No. 1, University Road, 701, Tainan City, Taiwan

    Kuo-Sheng Cheng

  4. Department of Electrical Engineering, National Cheng Kung University, No. 1, University Road, 701, Tainan City, Taiwan

    Jar-Ferr Kevin Yang

  5. Department of Electrical and Computer Engineering, Concordia University, S-EV005.139, 1515 St. Catherine West, Montreal, H4G 2W1, Quebec, Canada

    M. N. S. Swamy

  6. Microsoft Research Asia, 5/F, Beijing Sigma Center, No. 49, Zhichun Road, Hai Dian District, 100080, Beijing, China

    Shipeng Li

  7. Department of Information Management, National Kaohsiung University of Applied Sciences, No. 415, Jiangong Road, Sanmin District, 80778, Kaohsiung, Taiwan

    Jen-Wen Ding

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© 2008 Springer-Verlag Berlin Heidelberg

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Cite this paper

Chen, TW., Tang, CS., Chien, SY. (2008). Highly Efficient Face Detection in Color Images. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_114

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  • DOI: https://doi.org/10.1007/978-3-540-89796-5_114

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89795-8

  • Online ISBN: 978-3-540-89796-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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