用于人脸检测的车辆监视系统

Zhichao Ji, Huabiao Qin
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引用次数: 6

摘要

人脸检测是定位图像中出现人脸的位置的过程。并非所有提出的人脸检测方法都适合直接的硬件实现。本文提出了一种改进的基于肤色的人脸检测方法,并概述了其从软件到硬件实现的转变。通过FPGA (ALTERA CYCLONE EP1C6,现场可编程门阵列)测试了人脸检测算法的硬件实现。结果表明,该算法对背景杂乱、局部遮挡和光照变化具有较强的鲁棒性。其高检测和跟踪性能使其非常适合实时应用,特别是功率有限的设备,例如用于自动化安全,环境,交通和医疗保健监控应用的视频监控系统。
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A vehicle surveillance system for face detection
Face detection is the process of locating the position where faces are present in an image. Not all proposed face detection methods are suitable for direct hardware implementation. This paper proposes an improved skin-color based face detect method and outlines its transition from a software to hardware-based implementation. The hardware implementation of the face detect algorithm is examined by the FPGA (ALTERA CYCLONE EP1C6, field programmable gate arrays). Results show that it is robust to challenges of cluttered backgrounds, partial occlusion and varying illuminations. Its high detection and tracking performance makes it quite suitable for real-time applications, especially for power-limited devices, such as video surveillance systems for automated security, environment, transportation and health-care monitoring applications.
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