[POSTER] INCAST: Interactive Camera Streams for Surveillance Cams AR

Istvan Szentandrasi, Michael Zachariá, Rudolf Kajan, J. Tinka, Markéta Dubská, Jakub Sochor, A. Herout
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Abstract

Augmented reality does not make any sense for fixed cameras. Or does it? In this work, we are dealing with static cameras and their usability for interactive augmented reality applications. Knowing that the camera does not move makes camera pose estimation both less and more difficult - one does not have to deal with pose change in time, but on the other hand, obtaining some level of understanding of the scene from a single viewpoint is challenging. We propose several ways how to gain advantage from the camera being static and a pipeline of a system for broadcasting a video stream enriched by information needed for its interactive visual augmenting - Interactive Camera Streams, INCAST. We present a proof-of-concept system showing the usability of INCAST on several use-cases - non-interactive demos and simple AR games.
[海报]INCAST:交互式摄像头流监控摄像头AR
增强现实对于固定摄像头来说没有任何意义。是吗?在这项工作中,我们正在处理静态相机及其在交互式增强现实应用中的可用性。知道相机不移动使得相机姿态估计既少又难——一个人不必处理姿势随时间的变化,但另一方面,从单一视点获得对场景的某种程度的理解是具有挑战性的。我们提出了几种方法,如何从静态摄像机和系统的管道中获得优势,以广播由交互式视觉增强所需的信息丰富的视频流-交互式摄像机流,INCAST。我们提出了一个概念验证系统,展示了INCAST在几个用例中的可用性——非交互式演示和简单的AR游戏。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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