提出了一种杂乱背景和摄像机移动场景下的时空兴趣点检测方法。结合空间域上的平滑和时间域上的平滑:在空间域上利用非线性各向异性扩散进行平滑,从而有效平滑掉噪声和杂乱背景中的细小结构,同时保持了人体动作的边缘信息;在时间域上利用了一个与梯度成正比的抑制函数对摄像机晃动/移动所导致的时间关系上的不确定性进行建模。本文方法有效地解决了复杂场景下时空兴趣点检测面临的杂乱背景和摄像机移动问题。

A spatio-temporal interest point detection approach in the environment of clutter backgrounds with camera shaking/movements is proposed. It incorporates smoothing functions in the spatial and temporal domain. Non-linear anisotropic diffusion is used in spatial direction to efficiently smooth noises and small structures in cluttered backgrounds and to preserve edge information in human action. The uncertainty of the temporal correlation due to camera shaking/movements is modeled by a suppressing function in proportion to the image gradients. This method efficiently solves the problem of cluttered backgrounds and camera shaking/movements in complex scenes.