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基于Android平台的实时人脸检测与跟踪
引用本文:于世强,应捷. 基于Android平台的实时人脸检测与跟踪[J]. 电子科技, 2016, 29(7): 78
作者姓名:于世强  应捷
作者单位:(上海理工大学 光电信息与计算机工程学院,上海 200093)
摘    要:针对Android智能手机自带人脸检测功能效率低、错误率高的问题,提出了一种将OpenCV移植到Android平台的方法,在运行Android系统的嵌入式平台中使用改进的AdaBoost算法,并结合OpenCV库来实现实时人脸检测与跟踪。实验取得了高达9505%的人脸检测准确率和5013 ms的平均检测速率,在保证检测速度的同时比Android自带的人脸检测更具高效性和实用性。

关 键 词:Android  OpenCV  人脸检测  AdaBoost算法  

Real-time Face Detection and Tracking Based on Android Platform
YU Shiqiang,YING Jie. Real-time Face Detection and Tracking Based on Android Platform[J]. Electronic Science and Technology, 2016, 29(7): 78
Authors:YU Shiqiang  YING Jie
Affiliation:(School of Optical-Electrical and Computer Engineering, Shanghai University of Shanghai for Science and Techology, Shanghai 200093, China)
Abstract:Aiming at the low efficiency and high error rate from Android smartphone original face detection system, this paper proposes a method of transplanting OpenCV(Open Source Computer Vision Library) to Android platform, using improved AdaBoost algorithm combined with OpenCV Library to realize real-time face detection and tracking on embedded Android platform. The experiment achieved 9505% detection accuracy rate and 5013 ms average detection speed, it is more effective and practical than Android original face detection system at almost the same detection speed.
Keywords:Android  OpenCV  face detection  AdaBoost algorithm  
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