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Practical design and implementation of recognition assisted dynamic surveillance system

机译:识别辅助动态监控系统的实用设计与实现

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Open Service Gateway Initiative (OSGi) and Open-source Computer Vision (OpenCV) are widely used for developing applications. OSGi is constructed to provide a service platform with high application interoperability while OpenCV is used to provide many application programming interfaces (APIs) about image processing. In this paper, we design a recognition assisted surveillance system based on OSGi and OpenCV platforms. The system features dynamic monitoring by a camera carried by a robot and a Java 2 Micro-Edition (J2ME) viewer on a mobile phone. With the assistance of image recognition techniques, the captured frames are adaptively reproduced for handheld phones in a limited bandwidth environment. The proposed adaptive pause time control mechanism can efficiently improve the synchronization relationship between captured and viewed frames across heterogeneous networks. The evaluation results show that the proposed scheme can save power for the moveable camera and have a shorter time delay between the captured and viewed frames.
机译:开放服务网关倡议(OSGi)和开源计算机视觉(OpenCV)被广泛用于开发应用程序。 OSGi被构造为提供具有高应用程序互操作性的服务平台,而OpenCV被用于提供有关图像处理的许多应用程序编程接口(API)。在本文中,我们设计了基于OSGi和OpenCV平台的识别辅助监视系统。该系统具有由机器人携带的摄像头进行动态监视的功能,并由移动电话上的Java 2 Micro-Edition(J2ME)查看器提供。借助图像识别技术,可以在有限的带宽环境中为手持电话自适应地复制捕获的帧。所提出的自适应暂停时间控制机制可以有效地改善跨异构网络的捕获帧和观看帧之间的同步关系。评估结果表明,所提出的方案可以为可移动相机节省电能,并且在捕获和观看的帧之间具有较短的时间延迟。

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