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首页> 外文期刊>Electronic Letters on Computer Vision and Image Analysis: ELCVIA >Gait Identification Considering Body Tilt by Walking Direction Changes
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Gait Identification Considering Body Tilt by Walking Direction Changes

机译：考虑步行方向变化引起的身体倾斜的步态识别

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摘要

Gait identification has recently gained attention as a method of identifying individuals at a distance. Thought most of the previous works mainly treated straight-walk sequences for simplicity, curved-walk sequences should be also treated considering situations where a person walks along a curved path or enters a building from a sidewalk. In such cases, person’s body sometimes tilts by centrifugal force when walking directions change, and this body tilt considerably degrades gait silhouette and identification performance, especially for widely-used appearance-based approaches. Therefore, we propose a method of body-tilted silhouette correction based on centrifugal force estimation from walking trajectories. Then, gait identification process including gait feature extraction in the frequency domain and learning of a View Transformation Model (VTM) follows the silhouette correction. Experiments of gait identification for circular-walk sequences demonstrate the effectiveness of the proposed method.
机译：步态识别最近作为一种识别远距离个体的方法而受到关注。为了简化以前的工作，大多数以前的作品都以直行序列为主，而弯道序列也应考虑到人沿着弯道行走或从人行道进入建筑物的情况。在这种情况下，当步行方向改变时，人的身体有时会因离心力而倾斜，并且这种身体倾斜会大大降低步态轮廓和识别性能，尤其是对于广泛使用的基于外观的方法而言。因此，我们提出了一种基于步行轨迹的离心力估计的身体倾斜轮廓校正方法。然后，步态识别过程包括轮廓校正，包括在频域中的步态特征提取和视图转换模型（VTM）的学习。步行步态识别步态的实验证明了该方法的有效性。

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