Attentive sensor for dynamic scene analysis

用于动态场景分析的细心传感器

• 批准号: 500187-2016
• 负责人: Elder, James
• 金额: $ 9.04万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Idea to Innovation
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=607957
• 关键词: Attentive; sensor; dynamic; scene; analysis

Traditional machine vision systems employ a single camera with relatively small field of view (FOV). However, applications such as sports videography require a larger field of view to monitor an extended environment, as well as high resolution to resolve important details (e.g., the location of the puck in ice hockey). These two requirements are conflicting and cannot be met optimally with a single camera. Our laboratory has developed attentive sensing technology (Canadian Patent 2386347, US Patent 7130490) that meets these requirements by closely coupling two camera systems with different fields of view. The system integrates a wide field-of-view (FOV) camera providing continuous monitoring of the larger environment with a narrow FOV pan-tilt camera that can be directed to objects of interest using specialized computer vision and control software. The system thus delivers detailed information from critical targets (e.g., human faces) in the full context of the wider scene. The goal of the proposed project is to design, build, evaluate and refine next-generation commercial prototypes of this technology for emerging applications such as sports videography, remote learning and surveillance from terrestrial and unmanned aerial vehicle platforms.

传统的机器视觉系统采用具有相对小的视场（FOV）的单个相机。然而，诸如体育摄像之类的应用需要更大的视场来监视扩展的环境，以及高分辨率来解析重要的细节（例如，冰球中冰球的位置）。这两个要求是相互冲突的，并且不能用单个相机来最佳地满足。我们的实验室已经开发出专注传感技术（加拿大专利2386347，美国专利7130490），通过将两个具有不同视野的摄像机系统紧密耦合来满足这些要求。该系统集成了一个宽视场（FOV）摄像机，可连续监控较大的环境，同时还集成了一个窄视场云台摄像机，可使用专门的计算机视觉和控制软件指向感兴趣的对象。因此，该系统提供来自关键目标的详细信息（例如，人的面孔）在更广泛的场景的完整背景下。拟议项目的目标是设计、建造、评估和改进这项技术的下一代商业原型，用于体育摄像、远程学习和地面和无人驾驶飞行器平台监测等新兴应用。