Research on multi-view gait recognition using an omnidirectional camera

本研究试图提高步态识别的性能;从步行风格的人识别。由于所获得的步态特征在不同的观察视角之间是不同的，因此可以将多视角步态特征相结合来提高步态识别性能。虽然以前的方法使用单视图步态特征与传统的透视相机，我们提出了一种方法的多视图步态识别方法，通过使用全向相机。我们进行了实验，各种观察视图步态图像序列周围的全向摄像机在房间里，并确认所提出的方法的有效性。此外，我们建立了一个步态识别性能模型，以实现最佳的摄像机布置，最大限度地提高识别性能。

This study tried to improve performances of gait recognition ; person identification from walking style. Because obtained gait features are different among observation views, it is possible to improve the gait recognition performances integrating the multi-view gait features. While previous approaches use a single-view gait feature with a conventional perspective camera, we propose a method of multi-view gait recognition method by using an omnidirectional camera. We conducted experiments with various observation-view gait image sequences around the omnidirectional camera in the room and confirm the effectiveness of the proposed method. Moreover, we construct a gait recognition performance model to realize the optimal camera arrangement which maximize the recognition performance.