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Action Sport Cameras as an Instrument to Perform a 3D Underwater Motion Analysis

机译:动作运动相机作为执行3D水下运动分析的工具

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摘要

Action sport cameras (ASC) are currently adopted mainly for entertainment purposes but their uninterrupted technical improvements, in correspondence of cost decreases, are going to disclose them for three-dimensional (3D) motion analysis in sport gesture study and athletic performance evaluation quantitatively. Extending this technology to sport analysis however still requires a methodologic step-forward to making ASC a metric system, encompassing ad-hoc camera setup, image processing, feature tracking, calibration and 3D reconstruction. Despite traditional laboratory analysis, such requirements become an issue when coping with both indoor and outdoor motion acquisitions of athletes. In swimming analysis for example, the camera setup and the calibration protocol are particularly demanding since land and underwater cameras are mandatory. In particular, the underwater camera calibration can be an issue affecting the reconstruction accuracy. In this paper, the aim is to evaluate the feasibility of ASC for 3D underwater analysis by focusing on camera setup and data acquisition protocols. Two GoPro Hero3+ Black (frequency: 60Hz; image resolutions: 1280×720/1920×1080 pixels) were located underwater into a swimming pool, surveying a working volume of about 6m3. A two-step custom calibration procedure, consisting in the acquisition of one static triad and one moving wand, carrying nine and one spherical passive markers, respectively, was implemented. After assessing camera parameters, a rigid bar, carrying two markers at known distance, was acquired in several positions within the working volume. The average error upon the reconstructed inter-marker distances was less than 2.5mm (1280×720) and 1.5mm (1920×1080). The results of this study demonstrate that the calibration of underwater ASC is feasible enabling quantitative kinematic measurements with accuracy comparable to traditional motion capture systems.
机译:动作运动相机(ASC)目前主要用于娱乐目的,但随着成本的降低,其不间断的技术改进将在运动手势研究和运动成绩评估中定量地进行三维(3D)运动分析。但是,要将这项技术扩展到运动分析中,仍然需要进行方法上的逐步改进,以使ASC成为度量系统,包括临时摄像机设置,图像处理,特征跟踪,校准和3D重建。尽管进行了传统的实验室分析,但是在应对运动员进行室内和室外运动采集时,此类要求仍然成为一个问题。例如,在游泳分析中,由于必须配备陆上和水下摄像机,因此摄像机设置和校准协议特别苛刻。特别地,水下相机校准可能是影响重建精度的问题。本文旨在通过着重于相机设置和数据采集协议来评估ASC在3D水下分析中的可行性。在水下将两个GoPro Hero3 + Black(频率:60Hz;图像分辨率:1280×720/1920×1080像素)放置在游泳池中,测量的工作量约为6m3。实施了两步自定义校准程序,包括获取一个分别带有9个和1个球形无源标记的静态三重轴和一根移动棒。在评估摄像机参数后,在工作空间内的多个位置获取了一根带有两个已知距离的标记的刚性棒。重构的标记间距离的平均误差小于2.5mm(1280×720)和1.5mm(1920×1080)。这项研究的结果表明,水下ASC的校准是可行的,能够进行定量运动学测量,其精度可与传统运动捕捉系统相媲美。

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