| 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9505%的人脸检测准确率和5013 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 9505% detection accuracy rate and 5013 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 |
|
| 点击此处可从《电子科技》浏览原始摘要信息 |
|
点击此处可从《电子科技》下载全文 |
