The Application of Face Detection and Tracking Method Based on OpenCV
Wang Ron · Science Technology and Engineering · 2014
Face is an important information in video,and dynamic face detection and tracking is an important part of video analysis and image recognition. This paper has achieved a method of the face detection and tracking based on OpenCV. The AdaBoost method is used to detect dynamic face,and the Camshift algorithm based on color is used to track dynamic face. The proposed method is programmed by using OpenCV library and C ++ on VS 2010 development platform,and MFC framework is used to design the system interface. Simulating experimental results show that the face detection and tracking method in this paper is reasonable,which has a lower computational complexity and better robustness.