Using Skin-color information to AdaBoost Real-time Face Detection System
Date Issued
2011
Date
2011
Author(s)
Yang, Chia-Ying
Abstract
Law and order problem has been one of the topics that often discussed by the government and the society. Especially in the theft cases most criticized. This thesis proposes a set of real-time face detection system to supplement the monitoring system. The system includes six functions, Skin Color Segmentation, Filter Candidate Face Region, Training Features, Scanning Windows, Detection Window, Verify Face Window. As the image, non-skin color in most area, and the person’s face covered with skin color information. So, full use of skin color information as pre-process and verify faces can be greatly reduced system operator. In the detection, the use of AdaBoost algorithm to select the best combination of rectangle features. And the use of integral image, the scan windows to quickly calculate the value of rectangle feature. From experimental result, it was found 96.12 percent of correct face detection is achieved using the proposed method, and the execution time of 0.12~0.96 times the OpenCV. In the 640x480 image, the average execution time of only 80 ms.
Subjects
Face detection
Object detection
Skin segmentation
Type
thesis
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