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Video and Sensor-Based Rope Pulling Detection in Sport Climbing
 

Video and Sensor-Based Rope Pulling Detection in Sport Climbing

MMSports '20: Proceedings of the 3rd International Workshop on Multimedia Content Analysis in Sports, pp.53-60
International ACM Workshop on Multimedia Content Analysis in Sports (Seattle, 12/10/2020–16/10/2020)
2020
:
https://hdl.handle.net/10863/15241
Sensors video analysis climbing activity recognition
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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url
http://mmsports.multimedia-computing.de
url
https://dl.acm.org/doi/10.1145/3422844.3423058
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