头肩图像检测是人体分析研究中受关注的研究方向，是人脸检测的第一步，也是行人检测的基础。
Head and shoulder detection is one of the important problems on human body analysis. It is the first step of face detection and the base of pedestrian detection.
实验结果表明，由85张包含153个头肩图像组成的测试图集中，其正确率达到87.58％。
The result shows that the algorithm is able to obtain accuracy of 87. 58% over a test set of 85 images containing 153 targets.
头肩图像检测在智能监视系统和基于内容的图像索引等方面都有广泛的应用，因而研究快速而且准确的头肩图像检测技术具有十分重要的意义。
It can be applied to Content-based Image Indexing and Smart Surveillance Systems. It is essential to develop robust and efficient algorithms to detect head and shoulders.
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