A monocular vision-based response tracking method is proposed for simultaneously identifying translational floor displacement and rotational joint deformation of frame structures at multiple locations. The framework incorporates subpixel-level feature matching and tracking and is designed by introducing the feature-mix concept and feature quality evaluation for the initialization and postprocessing stage, respectively. The necessity of monitoring frame joint rotation is presented with the damage observations. A large-scale reinforced concrete frame structure is employed to investigate the proposed response estimation method through comprehensive shaking table tests by using a consumer-grade camera. The initial feature population, time-history agreement, overall estimation accuracy, survival feature ratio, and measurement uncertainty are further analyzed. In addition, the potential values and advantages of the proposed response tracking method for dynamic measurement and seismic evaluation are discussed illustratively.

中文翻译：

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基于视觉的框架结构位移和关节旋转跟踪，使用单一消费级相机的特征混合

提出了一种基于单目视觉的响应跟踪方法，用于同时识别多个位置框架结构的平移地板位移和旋转接头变形。该框架结合了亚像素级特征匹配和跟踪，并通过分别在初始化和后处理阶段引入特征混合概念和特征质量评估来设计。通过损伤观测提出了监测框架关节旋转的必要性。采用大型钢筋混凝土框架结构，通过使用消费级相机的综合振动台测试来研究所提出的响应估计方法。初始特征种群、时程一致性、总体估计精度、生存特征比、和测量不确定度进一步分析。此外，示例性地讨论了所提出的用于动态测量和地震评估的响应跟踪方法的潜在价值和优势。