Title :
A 0.79-mm2 29-mW Real-Time Face Detection Core
Author :
Hori, Yuichi ; Kuroda, Tadahiro
Author_Institution :
Dept. of Electron. & Electr. Eng, Keio Univ., Kanagawa
fDate :
4/1/2007 12:00:00 AM
Abstract :
A 0.79-mm2 29-mW real-time face detection core is fabricated in a 0.13-mum CMOS technology. It consists of 75-kgate logic, 58-kbit SRAM, and an ARM AMBA bus interface. Comprehensive optimization in both algorithm and hardware design improves performance and reduces area and power dissipation. Two kinds of templates with facial features are proposed to achieve high speed and yet accurate face detection. A Steady State Genetic Algorithm is employed for high-speed hardware implementation of template matching. To reduce area and power dissipation, frame memory is optimized at minimum and the detection engine is shared for two kinds of template matching. The core can detect eight faces in each frame of moving pictures at 30 frames/second. Face detection accuracy is 92%
Keywords :
CMOS digital integrated circuits; digital signal processing chips; face recognition; genetic algorithms; image matching; 0.13 micron; 29 mW; 58 kbit; 92 percent; ARM AMBA bus interface; CMOS technology; SRAM; face recognition; optimization algorithm; optimized frame memory; real-time face detection core; steady state genetic algorithm; template matching; Algorithm design and analysis; CMOS logic circuits; CMOS technology; Design optimization; Face detection; Facial features; Hardware; Power dissipation; Random access memory; Steady-state; CMOS; face recognition; genetic algorithms; low power;
Journal_Title :
Solid-State Circuits, IEEE Journal of
DOI :
10.1109/JSSC.2007.891675
