基于Android系统的Vibe运动检测改进方法

Wenkai Wu, Qing He, Yongkang Wang, Y. Hu, Baopu Li, Bin Leng, Guan Guan, Haibin Wang, Hehui Zou
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引用次数: 4

摘要

本文提出了一种在Android操作系统上基于Opencv (Open Source Computer Vision Library)的Vibe (Visual background extractor)改进方法。简要介绍了利用Opencv4 Android搭建开发环境的处理过程,以及利用Android框架实现本应用程序。介绍了使用JNI (Java Native Interface)调用OpenCV的本地函数的步骤,并介绍了使用Android SDK (Software Development Kit)和NDK (Native Development Kit)生成共享库的方法。此外,本文还对运动检测方法Vibe进行了一些改进,包括阴影消除和噪声抑制。Android是移动平台上最流行的系统,越来越多的移动设备安装了Android。因此,在Android Opera系统上实现运动检测计算机视觉算法是很有价值的。实验结果表明了该方法在Android系统上的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved method of Vibe for motion detection based on Android system
This paper proposes an improved method of Vibe (Visual background extractor) based on Opencv (Open Source Computer Vision Library) on Android operating system. It briefly introduced the processing procedures which build the development environment with Opencv4 Android and implement this application program by using the Android framework. The step of using JNI (Java Native Interface) to call the native functions of OpenCV is explained and the using of Android SDK (Software Development Kit) and NDK (Native Development Kit) to generate shared library are also mentioned. Besides, this paper achieves some improvements of Vibe, a motion detection method, involving shadow elimination and noise inhibition. Android is the most popular system on mobile platform, more and more mobile devices are equipped with Android. So it is worthy to implement the motion detection computer vision algorithm based on Android Opera System. And the experiment results show the effectiveness of the proposed method based on Android system.
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