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Firstly, while running optical flow, we choose a time increment between two frames which is small enough.
We comply with these requirements and cope with odd detected points as follows: Firstly, while running optical flow, we choose a time increment between two frames which is small enough.
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Two frames, which selected from the middle frame of a three bays building, with two and three stories were selected.
In the longer direction were modeled all the four frames which were linked with each other by rigid truss elements which allow only the lateral force and displacement transfers between the frames.
To reduce the computational load and reach a delay between two subsequent frames which is as low as possible, we set the best empirically chosen parameters: we reduced the number of moving points taken into account by optical flow to 1,000, which permitted to reach a time delay of 1 10−1 s between two frames.
Optical flow was first introduced to characterize movements between two frames [21 23], without any prior knowledge about the contents of the frames by determining the gray level values which have migrated from one point to another.
(a) Original frame, (b) stabilized frame, (c, d) difference between two frames before and after MC, respectively.
Figure 12 Example optimization procedure between two frames.
The distance between two videos is the minimum distance between two frames across two videos.
The T60 time considered in normal meeting room can be as high as 1s, which is equivalent to 100 speech frames if the frame shift is 10 ms. This may suggest that there is a relationship between two frames that are as far away as 100 frames.
The time interval between two frames is 3 s.
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