Gait is an important biometric trait for identifying individuals. The use of inputs from multiple or moving cameras offers a promising extension of gait recognition methods. Personal authentication systems at building entrances, for example, can utilize multiple cameras installed at appropriate positions to increase their authentication accuracy. In such cases, it is important to identify effective camera positions to maximize gait recognition performance, but it is not yet clear how different viewpoints affect recognition performance. This study determines the relationship between viewpoint and gait recognition performance to construct standards for selecting an appropriate view for gait recognition using multiple or moving cameras. We evaluate the gait features generated from 3D pedestrian shapes to visualize the directional characteristics of recognition performance.

中文翻译：

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基于轮廓的步态识别的方向特征评估

步态是识别个人的重要生物特征。来自多个或移动摄像机的输入的使用为步态识别方法提供了有希望的扩展。例如，建筑物入口处的个人认证系统可以利用安装在适当位置的多个摄像机来提高其认证准确性。在这种情况下，识别有效的相机位置以最大化步态识别性能很重要，但尚不清楚不同的视点如何影响识别性能。这项研究确定了视点与步态识别性能之间的关系，从而构建了使用多个或移动摄像机为步态识别选择合适视图的标准。