Exact(60)
To avoid erroneous operation when an image change is detected, the background detection module should skip such transition periods and maintain the control as if it is measuring the image just prior to the reaction of the video-level controller.
When a change is detected, the Initialize function of a change detection algorithm is called and the latter entirely forgets its runtime state.
When no change is detected, the algorithm gets the next data item to perform change detection (transition to Data source state).
The change is detected automatically, but the altered behaviour requires controlled information processing beyond detection.
This change is detected with a lock-in amplifier.
The color change is detected with a fiber optic spectrometer.
However, no bulk phase change is detected for the three OCs using XRD.
A small but significant position angle change is detected at constant separation; the orbital motion is confirmed with literature measurements.
At the threshold fluence, a pronounced change is detected, i.e., an approximately 10 times higher decomposition rate.
If a gradual pattern of change is detected, the individual-specific classifier(s) are adapted through incremental learning.
That change is detected by the two films of carbon nanotubes, which act like the positive and negative terminals on a typical automobile or flashlight battery.
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