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The rig is designed to move a section model in arbitrary motion in a wind tunnel to imitate the motions of such scaled real bridge motion, step motion or random motion histories to be close to white noise.
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Figure 10 Motion history image and Motion template procedure.
Figure 10d shows the motion history image in depth space.
This image is referred to as the motion history image.
Motion history image at time (a) t; (b) t + 1; (c) t + 2; (d) Depth motion history image.
Bobick and Davis [26] use motion history images a.k.a temporal templates for action classification.
From the motion history image, we can derive the direction by taking the gradient.
Some of gradients calculated from the motion history image are invalid.
We also design a dynamic feature comprising motion history image and entropy.
Rougier et al. [8] applied the motion history image (MHI) and variations of human body shape to detect falls.
Kellokumpu et al. [19] used local binary patterns (LBP) to describe motion history and motion energy images which encodes shape and motion information respectively.
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