On June 24, 2021, a 12-story condominium building (Champlain Towers South) in Surfside, Florida partially collapsed, resulting in one of the deadliest building collapses in United States history with 98 people confirmed deceased. In this work, we analyze the collapse event using a video clip that is publicly available from social media. In our analysis, we apply computer vision algorithms to corroborate new information from the video clip that may not be readily interpreted by human eyes. By comparing the differential features against different video frames, our proposed method is used to quantify the falling structural components by mapping the directions and magnitudes of their movements. We demonstrate the potential of this video processing methodology in investigations of catastrophic structural failures and hope our approach may serve as a basis for further investigations into structure collapse events.
翻译:2021年6月24日, 佛罗里达州Surfside的12层公寓大楼(Champlain Towers South)部分倒塌, 导致美国历史上最致命的建筑物坍塌之一, 98人证实死亡。 在这项工作中, 我们使用社交媒体公开提供的视频剪辑分析崩溃事件。 我们的分析中, 我们运用计算机视觉算法, 来证实视频剪辑中可能不易被人类眼界解读的新信息。 通过对比不同视频框的差别特征, 我们建议的方法被用来通过绘制其运动的方向和规模来量化结构元件的下降。 我们展示了这种视频处理方法在调查灾难性结构性故障中的潜力, 希望我们的方法可以作为进一步调查结构崩塌事件的基础。