Wenkai Wu, Qing He, Yongkang Wang, Y. Hu, Baopu Li, Bin Leng, Guan Guan, Haibin Wang, Hehui Zou
{"title":"基于Android系统的Vibe运动检测改进方法","authors":"Wenkai Wu, Qing He, Yongkang Wang, Y. Hu, Baopu Li, Bin Leng, Guan Guan, Haibin Wang, Hehui Zou","doi":"10.1109/ROBIO.2013.6739836","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":434960,"journal":{"name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An improved method of Vibe for motion detection based on Android system\",\"authors\":\"Wenkai Wu, Qing He, Yongkang Wang, Y. Hu, Baopu Li, Bin Leng, Guan Guan, Haibin Wang, Hehui Zou\",\"doi\":\"10.1109/ROBIO.2013.6739836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":434960,\"journal\":{\"name\":\"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO.2013.6739836\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2013.6739836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.