This paper presents a method for early detection of dangerous condition in the deep-water zone of swimming pool based on video surveillance. We propose feature extraction, feature expression and assessment criteria, including a method for evaluating normal swimming speed based on the time series of swimmers, a method for assessing an upright state that is not limited by the camera angle, and the rules for assessing dangerous state. We have collected real-life data from the swimming pool and conducted related experiments. Our method can easily and efficiently detect the swimmer who is in danger at an early stage and provide necessary rescue reminders to lifeguards.

中文翻译：

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基于监控视频的室内游泳池深水早期危险状态检测

提出了一种基于视频监控的游泳池深水区危险状况早期检测方法。我们提出了特征提取、特征表达和评估标准，包括基于游泳者时间序列评估正常游泳速度的方法，评估不受摄像机角度限制的直立状态的方法，以及评估危险状态的规则. 我们收集了游泳池的真实数据并进行了相关实验。我们的方法可以轻松有效地在早期发现处于危险中的游泳者，并为救生员提供必要的救援提醒。