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Particle tracking velocimetry (PTV) algorithms match particles across two consecutive frames corresponding to a certain flow pattern.
The approach is based on processing two consecutive frames (images), computing optical flow, and tracking certain points to detect obstacles.
For the temporal segmentation, adaptive thresholding is performed based on the intensity difference between two consecutive frames.
Intravascular ultrasound (IVUS) images of abdominal aortas were acquired in situ and two consecutive frames near the end-diastole were used to construct an IVUS elastogram.
Two consecutive frames of 60 and 30 s were acquired.
We perform max-pooling over two consecutive frames.
Figure 8 Segmentations of two consecutive frames (a,b).
Pseudocode for the construction of the relation tree between two consecutive frames is shown in Figure 4. Figure 4 Pseudocode for creating relation tree between two consecutive frames.
The estimation of pixel motion in two consecutive frames yields the optical flow computation [28].
At first, two consecutive frames are used as input images for the proposed system.
Note that the "residue frame" is obtained by direct subtraction of two consecutive frames.
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