Presentation | 2009-12-14 An Improved Face-Detection Method for a Massive-Parallel Memory-Embedded SIMD Matrix Processor MX-1 Hirokazu HIRAMOTO, Takeshi KUMAKI, Yuta IMAI, Tetsushi KOIDE, MATTAUSCH Hans JURGEN, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, face-detection processing is more widely used in security applications, such as video surveillance system or entrance and exit monitoring system. Therefore, real-time processing becomes practically important, since a delay in detection time means a loss in safety for the system-manager. Conventional general purpose processors, or digital-signal processors, have high flexibility, but have difficulties to keep the real-time processing specifications. On the other hand, face-detection ASICs tend to increase the hardware cost and how to be redesigned when the processing algorithm changes. In this paper, a high-speed and a highly-accuracy parallel face-detection processing technique, which uses a Massive-Parallel Memory-Embedded SIMD Matrix processor (MX-1) is proposed to solve the above problems. The MX-1 can execute the face-detection algorithm in real-time and operates with power consumption of about 150 mW. Furthermore, MX-1 is programmable and therefore implements a soft-ware-based architecture. The face-detection algorithm applies Haar-like features and the AdaBoost algorithm. For effective face-detection processing, scan-window parallelization and reduction of the number of Haar-like features is also proposed. The achieved detection time is about 300 ms at 162 MHz clock frequency by using an evaluation board equipped with the MX-1 processor. Moreover, while keeping the accuracy of the face-detection rate, the number of Haar-like features can be reduced by about 85% below that of conventional public-domain software. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Face detection / Parallel processing / SIMD processor / Low power consumption |
Paper # | ICD2009-92 |
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Committee | ICD |
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Conference Date | 2009/12/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Integrated Circuits and Devices (ICD) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Improved Face-Detection Method for a Massive-Parallel Memory-Embedded SIMD Matrix Processor MX-1 |
Sub Title (in English) | |
Keyword(1) | Face detection |
Keyword(2) | Parallel processing |
Keyword(3) | SIMD processor |
Keyword(4) | Low power consumption |
1st Author's Name | Hirokazu HIRAMOTO |
1st Author's Affiliation | Research Institute for Nanodevice and Bio Systems, Hiroshima Univ.() |
2nd Author's Name | Takeshi KUMAKI |
2nd Author's Affiliation | Research Institute for Nanodevice and Bio Systems, Hiroshima Univ. |
3rd Author's Name | Yuta IMAI |
3rd Author's Affiliation | Research Institute for Nanodevice and Bio Systems, Hiroshima Univ. |
4th Author's Name | Tetsushi KOIDE |
4th Author's Affiliation | Research Institute for Nanodevice and Bio Systems, Hiroshima Univ. |
5th Author's Name | MATTAUSCH Hans JURGEN |
5th Author's Affiliation | Research Institute for Nanodevice and Bio Systems, Hiroshima Univ. |
Date | 2009-12-14 |
Paper # | ICD2009-92 |
Volume (vol) | vol.109 |
Number (no) | 336 |
Page | pp.pp.- |
#Pages | 6 |
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