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QTC enables comparisons between positions of objects at different time points to be made.
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Whilst multiple scatter may blur the boundaries between objects, the immediate aim is to differentiate between the positions of objects rather than recover fine detail in the third dimension.
Some optical illusions have been made that show how your mind "fills in the gap" when a piece of an image is missing, and how cartoons animated at extremely low framerates still appear to generate natural motion despite having huge gaps between sequential positions of objects.
Furthermore, models which are currently available either represent structures as relational space (e.g. BenDor and Kaza, 2012) – which omits absolute positions of objects – or neglects feedback between processes and structures (e.g. Lauf et al., 2012).
Visual sensors estimate and track positions of objects, and identification sensors register identifications of objects.
Since the association system knows the locations of identification sensors and the estimated positions of objects, it can check whether an object is within the coverage of the identification sensor by using the distance between them.
This paper illustrates the feasibility and effectiveness of information association between the position of objects estimated by visual sensors and their simultaneous registration of multiple objects.
The stress value is used as a measure of goodness of fit between the original data (matrix of distances) and the ordered position of objects in the two dimensional space (NMDS configuration).
The position of Object X on a horizontal surface.
The positions of the objects that were moved for the test phase were counterbalanced across sessions.
A collision occurs between pairs of objects and the new positions of the colliding bodies are updated based on the collision laws.
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