计算视图标准化的身体部位轨迹

F. Jean, R. Bergevin, A. Albu
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引用次数: 7

摘要

提出了一种从单目视频序列中计算行人的视图归一化身体部分轨迹的方法。该方法首先从跟踪轮廓中提取足部和头部的二维轨迹。在此基础上,将行走轨迹分段为分段线性段。最后,对每个获得的直线行走段的头和脚轨迹进行归一化处理。视图归一化使头部和脚的轨迹看起来就像从正面平行的视点看到的那样。后者被认为是最优的步态建模和识别目的。所提出的方法是全自动的,因为它既不需要手动初始化也不需要相机校准。
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Computing View-normalized Body Parts Trajectories
This paper proposes an approach to compute view normalized body part trajectories of pedestrians from monocular video sequences. The proposed approach first extracts the 2D trajectories of both feet and of the head from tracked silhouettes. On that basis, it segments the walking trajectory into piecewise linear segments. Finally, a normalization process is applied to head and feet trajectories over each obtained straight walking segment. View normalization makes head and feet trajectories appear as if seen from a fronto-parallel viewpoint. The latter is assumed to be optimal for gait modeling and recognition purposes. The proposed approach is fully automatic as it requires neither manual initialization nor camera calibration.
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