Surveillance Videos Meet Wearable Cameras on the Cloud

监控视频与云端可穿戴摄像机的结合

• 批准号: 243643046
• 负责人: Professor Dr.-Ing. Gerhard Rigoll
• 金额: --
• 依托单位: Lehrstuhl für Mensch-Maschine-Kommunikation (MMK)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2015
• 资助国家: 德国
• 起止时间: 2014-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/243643046?language=en
• 关键词: Surveillance; Videos; Meet; Wearable; Cameras

This is an application for an extension to the research project Augmented Synopsis of Surveillance Videos in Adaptive Camera Networks (AZ: RI 658/25-1) under the trilateral research projects which will end in September 2017 (after 2 years of funding). This extension addresses improving and adding capabilities to the existing system such as: (1) the integration of videos recorded by mixed types of cameras (static and moving) such as hand held mobile phones, or wearable cameras and those worn by police officers, (2) re-identification and segmentation of the same object in non-overlapping camera views, and (3) a new cloud computing platform with access and version control. Static video cameras are being installed everywhere as part of comprehensive security systems, in hopes of crime prevention, traffic control, and malfunction detection. Mobile cameras are in everyones mobile phones and wearable cameras are becoming more common for policemen, firemen, soldiers and people wearing GoPros. In this proposal we expand the capabilities of stationary surveillance cameras, and incorporate videos from moving cameras to get a more holistic understanding of the scene. In addition, the entire system is geared to work in the cloud. In the new phase of the proposal, video streams from the mixed cameras (fixed and moving) will be stored on a shared cloud server. Access to the server will be shared by all partners. They can query for raw videos and video related metadata (XML files) to run their video processing algorithms locally and then the results will be uploaded to the cloud. The cloud server will provide enhanced services to support the dynamics of this integration like version and access control of the video metadata. Since the field of view of each individual camera is limited, it is essential to integrate information from multiple cameras in order to cover a large target area and to holistically understand a more complete scenario. This will include tracking of objects across cameras, creating a global view from multiple cameras, and performing joint analysis of actions over multiple cameras. A major innovation in this project will be the integration of fixed and moving cameras and re-identification of tracked objects based on a cloud infrastructure.The three partners complement each other in providing the expertise necessary to carry out the proposed research. TUM has expertise in object detection, segmentation and tracking of people. HUJI has image processing and computer vision expertise, in particular calibration, synopsis, and analyzing wearable camera streams. AQU has expertise in distributed applications development and cloud computing.

这是一个申请扩展的研究项目增强概要的监控视频在自适应摄像机网络（AZ：RI 658/25-1）下的三边研究项目，将于2017年9月结束（经过2年的资助）。此扩展旨在改进和添加现有系统的功能，例如：（1）整合由混合类型的摄像机记录的视频（静态的和移动的），例如手持移动的电话，或可佩戴的照相机和警官佩戴的照相机，（2）在非重叠照相机视图中重新识别和分割相同对象，以及（3）具有访问和版本控制的新的云计算平台。作为综合安全系统的一部分，静态摄像机被安装在各处，以期预防犯罪、控制交通和检测故障。移动的相机在每个人的移动的手机和可穿戴相机正变得越来越普遍的警察，消防员，士兵和人们穿着GoPro。在这个提案中，我们扩展了固定监控摄像头的功能，并结合了移动摄像头的视频，以更全面地了解场景。此外，整个系统都适合在云中工作。在提案的新阶段，来自混合摄像机（固定和移动）的视频流将存储在共享云服务器上。对服务器的访问将由所有合作伙伴共享。他们可以查询原始视频和视频相关元数据（XML文件），以在本地运行视频处理算法，然后将结果上传到云端。云服务器将提供增强的服务，以支持这种集成的动态，如视频元数据的版本和访问控制。由于每个摄像头的视野都是有限的，因此必须整合来自多个摄像头的信息，以覆盖大的目标区域并全面了解更完整的场景。这将包括跨摄像机跟踪对象，从多个摄像机创建全局视图，以及对多个摄像机上的动作进行联合分析。该项目的一项重大创新是将固定和移动摄像机集成在一起，并基于云基础设施重新识别跟踪对象。三个合作伙伴在提供开展拟议研究所需的专业知识方面相互补充。TUM在物体检测、分割和跟踪人方面拥有专业知识。HUJI拥有图像处理和计算机视觉专业知识，特别是校准，概要和分析可穿戴相机流。AQU在分布式应用程序开发和云计算方面拥有专业知识。