Distributed Camera Systems and Image Sensor Clouds

分布式相机系统和图像传感器云

• 批准号: 157751-2012
• 负责人: Hornsey, Richard
• 金额: $ 1.53万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=522711
• 关键词: Distributed; Camera; Systems; Image; Sensor

Imagine a soccer stadium in which every person in the capacity crowd is using their cell-phone to capture a video of the game. Different spectators follow different players, some follow the ball instead, others may turn their cameras on or off, and many move about the stands. If we were to have access to these videos in real time, how could we retrieve information about the game? On one hand, we would have information about all parts of the pitch from multiple perspectives and no event would go unrecorded. On the other hand, we do not know where the cameras are at any time, in which directions they point, or even how many there are. There would also be huge redundancy (meaning that a point in the scene is captured by many cameras), variable degrees of overlap in fields-of-view between cameras, instances where identical objects appear at different sizes in different images, and a host of similar challenges.

想象一下，在一个足球场里，每个人都在用他们的手机捕捉比赛的视频。不同的观众跟随不同的球员，有些人跟着球，其他人可能会打开或关闭他们的相机，许多人在看台上走动。如果我们能够在真实的时间里访问这些视频，我们如何检索有关游戏的信息？一方面，我们将从多个角度了解球场的所有部分，没有任何事件会被记录下来。另一方面，我们不知道摄像机在任何时候都在哪里，它们指向哪个方向，甚至有多少。也会有巨大的冗余（这意味着场景中的一个点被许多摄像机捕获），摄像机之间的视场重叠程度不同，相同的物体在不同图像中以不同尺寸出现的情况，以及许多类似的挑战。