基于视频和传感器的运动攀岩拉绳检测

I. Ivanova, Marina Andric, Sadaf Moaveninejad, Andrea Janes, F. Ricci
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引用次数: 6

摘要

运动攀岩不仅是一项娱乐活动,也是一项越来越受欢迎的竞技运动。出于这个原因,室内运动攀岩运营商一直在努力改善他们的服务,并优化利用他们的基础设施。支持这种任务的一种方法是在攀登时跟踪访问者的攀登活动。本文考虑了这样一个场景:一个传感器连接在一件攀岩设备上,该设备将攀岩绳连接到螺栓锚(快拔)上,摄像机俯瞰攀岩墙。在这种情况下,本文探讨了两种方法来检测登山者何时完成攀爬并从墙上拉绳子:1)使用传感器和摄像机的混合方法;2)仅使用摄像机的基于视频的方法。评估结果表明,混合方法的识别精度为91%,基于视频的方法的识别精度为76%。本文还讨论了各种分析方法的优缺点,并指出了实现攀爬活动自动跟踪的未来研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video and Sensor-Based Rope Pulling Detection in Sport Climbing
Sport climbing is becoming an increasingly popular competitive sport as well as a recreational activity. For this reason, indoor sport climbing operators are constantly trying to improve their services and optimally use their infrastructure. One way to support such a task is to track the climbing activities performed by visitors while climbing. This paper considers a scenario in which a sensor is attached to a piece of climbing equipment that connects the climbing rope to the bolt anchors (quickdraws) and a camera is overlooking a climbing wall. Within this scenario, this paper explores two approaches to detect when a climber finishes a climb and pulls the rope from the wall: 1) a hybrid approach in which sensors and cameras are used and 2) a video-based approach where only cameras are used. The evaluation resulted in recognition precision of 91% for the hybrid and 76% for the video-based approach, respectively. This paper also discusses advantages and disadvantages of analysed approaches and points out future research directions to allow the automatic tracking of climbing activities.
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