基于时空能量图分析的滑落事件检测

Tim Liao, Chung-Lin Huang
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引用次数: 7

摘要

本文提出了一种利用综合时空能量图(ISTE)检测滑落事件的新方法。ISTE地图包括运动和运动发生的时间作为我们的运动特征。提取的人体形状由一个椭圆表示,该椭圆提供了人体运动活动的关键信息。我们利用这一特征来检测非固定帧率视频中的事件。这项工作假定人在跌倒事故后躺在地上几乎没有运动。实验结果表明,该方法可以有效地检测到跌落和滑动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Slip and Fall Events Detection by Analyzing the Integrated Spatiotemporal Energy Map
his paper presents a new method to detect slip and fall events by analyzing the integrated spatiotemporal energy (ISTE) map. ISTE map includes motion and time of motion occurrence as our motion feature. The extracted human shape is represented by an ellipse that provides crucial information of human motion activities. We use this features to detect the events in the video with non-fixed frame rate. This work assumes that the person lies on the ground with very little motion after the fall accident. Experimental results show that our method is effective for fall and slip detection.
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