Automatic Face Detection System for Street View Images

被引：0
|
作者：
Yang, Xin [1 ]
Wang, Xingang [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, Res Ctr Precis Sensing & Control, Beijing 100190, Peoples R China
来源：
2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2012) | 2012年
关键词：
D O I：
暂无
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
As street view images have been widely used in digital maps, detecting and blurring faces in these images for privacy protection is highly needed. In this paper, an automatic face detection system for street view images is constructed. Firstly, image pre-processing is used to increase image's global contrast. Then, head-shoulder detection based on combined-HOG features is applied to locate faces roughly. After that, multi-angle face detection and Bayes face detection based on skin segmentation are used to get faces' locations precisely from the located head-shoulder regions. Experiments conducted show high precision and robustness of the system.
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页数：4
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