A Real-Time Multi Face Detection Technique Using Positive-Negative Lines-of-Face Template

  • Authors:
  • Yuichi Hori;Kenji Shimizu;Yutaka Nakamura;Tadahiro Kuroda

  • Affiliations:
  • Keio University, Japan;Keio University, Japan;Keio University, Japan;Keio University, Japan

  • Venue:
  • ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
  • Year:
  • 2004

Quantified Score

Hi-index 0.01

Visualization

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 320x240pixels (QVGA) color video sequences. Detection rate of 98% is achieved for 89 images including 205 faces from daily scenes.