A real-time multi face detection technique using positive-negative lines-of-face template

Yuichi Hori; Kenji Shimizu; Yutaka Nakamura; Tadahiro Kuroda

doi:10.1109/ICPR.2004.1334309

A real-time multi face detection technique using positive-negative lines-of-face template

Yuichi Hori, Kenji Shimizu, Yutaka Nakamura, Tadahiro Kuroda

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

23 Citations (Scopus)

Abstract

This paper describes a real-time multi face detection technique for color video sequences. A 3D rational skin color model and a positive-negative lines-of-face template are proposed to improve signal to noise ratio (SNR) in face detection. Steady State Genetic Algorithm (SSGA) is employed for lines-of-face detection from entire image. Hardware architecture is optimized for high-speed operation and small hardware resources. An experimental system is developed in Field Programmable Gate Array (FPGA), with only 40k gates for logic and 240k gates for memory. It detects 6 faces in real-time (30fps:every 33ms) from 320×240pixels (QVGA) color video sequences. Detection rate of 98% is achieved for 89 images including 205 faces from daily scenes.

Original language	English
Title of host publication	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Editors	J. Kittler, M. Petrou, M. Nixon
Pages	765-768
Number of pages	4
DOIs	https://doi.org/10.1109/ICPR.2004.1334309
Publication status	Published - 2004 Dec 17
Event	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom Duration: 2004 Aug 23 → 2004 Aug 26

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	1
ISSN (Print)	1051-4651

Other

Other	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Country/Territory	United Kingdom
City	Cambridge
Period	04/8/23 → 04/8/26

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICPR.2004.1334309

Cite this

Hori, Y., Shimizu, K., Nakamura, Y., & Kuroda, T. (2004). A real-time multi face detection technique using positive-negative lines-of-face template. In J. Kittler, M. Petrou, & M. Nixon (Eds.), Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 (pp. 765-768). (Proceedings - International Conference on Pattern Recognition; Vol. 1). https://doi.org/10.1109/ICPR.2004.1334309

A real-time multi face detection technique using positive-negative lines-of-face template. / Hori, Yuichi; Shimizu, Kenji; Nakamura, Yutaka et al.

Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. ed. / J. Kittler; M. Petrou; M. Nixon. 2004. p. 765-768 (Proceedings - International Conference on Pattern Recognition; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hori, Y, Shimizu, K, Nakamura, Y & Kuroda, T 2004, A real-time multi face detection technique using positive-negative lines-of-face template. in J Kittler, M Petrou & M Nixon (eds), Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Proceedings - International Conference on Pattern Recognition, vol. 1, pp. 765-768, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, United Kingdom, 04/8/23. https://doi.org/10.1109/ICPR.2004.1334309

Hori Y, Shimizu K, Nakamura Y, Kuroda T. A real-time multi face detection technique using positive-negative lines-of-face template. In Kittler J, Petrou M, Nixon M, editors, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. 2004. p. 765-768. (Proceedings - International Conference on Pattern Recognition). doi: 10.1109/ICPR.2004.1334309

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abstract = "This paper describes a real-time multi face detection technique for color video sequences. A 3D rational skin color model and a positive-negative lines-of-face template are proposed to improve signal to noise ratio (SNR) in face detection. Steady State Genetic Algorithm (SSGA) is employed for lines-of-face detection from entire image. Hardware architecture is optimized for high-speed operation and small hardware resources. An experimental system is developed in Field Programmable Gate Array (FPGA), with only 40k gates for logic and 240k gates for memory. It detects 6 faces in real-time (30fps:every 33ms) from 320×240pixels (QVGA) color video sequences. Detection rate of 98% is achieved for 89 images including 205 faces from daily scenes.",

author = "Yuichi Hori and Kenji Shimizu and Yutaka Nakamura and Tadahiro Kuroda",

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A real-time multi face detection technique using positive-negative lines-of-face template

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