Ski Fall Detection from Digital Images Using Deep Learning

Abstract

In this paper, we explore how to take advantage of computer vision to assist ski resorts and monitor the safety of skiers on the tracks. In order to quickly detect any falls or injures, and provide first aid for injured people, we make use of archived ski videos, which are employed to explore the possibility of skiers fall detection. Throughout combinations of visual object detection with human pose detection by using deep learning methods. Our ultimate goal of this project is to provide a way for ski safety monitoring which has potential applications for physical training. Our contribution in this paper is to propose a fall detection method suitable for skiers based on visual object detection, we have obtained 0.94 mAP accuracy in preliminary tests.