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

研究成果: Conference contribution

23 被引用数 (Scopus)

抄録

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.

本文言語	English
ホスト出版物のタイトル	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
編集者	J. Kittler, M. Petrou, M. Nixon
ページ	765-768
ページ数	4
DOI	https://doi.org/10.1109/ICPR.2004.1334309
出版ステータス	Published - 2004 12月 17
イベント	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom 継続期間: 2004 8月 23 → 2004 8月 26

出版物シリーズ

名前	Proceedings - International Conference on Pattern Recognition
巻	1
ISSN（印刷版）	1051-4651

Other

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

ASJC Scopus subject areas

コンピュータビジョンおよびパターン認識

文献へのアクセス

10.1109/ICPR.2004.1334309

他のファイルとリンク

引用スタイル

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 その他.
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).

研究成果: 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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title = "A real-time multi face detection technique using positive-negative lines-of-face template",

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{\texttimes}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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AB - 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.

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

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