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One of the most efficient strategies for hand tracking is to use 2D visual information such as color and shape.
The goal of tracking is to robustly detect elephants over longer time spans in a video sequence.
The purpose of tracking is to estimate the state of a target in real time, based on a set of current measurements.
The aim of object tracking is to generate the trajectory of an object over time by locating its position in every frame of instant time.
The general problem of persistent tracking is to continuously track a target, e.g., a car or pedestrian, over a large space and time.
In general, visual tracking is to track an interested target which usually has been indicated in the first frame by a bounding box in video streams.
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But the envoi that stops one in one's tracks is to "Josie".
One track is to be married to a "house husband".
A great way to stay on track is to monitor what you eat.
The track is to be included on his upcoming but still untitled album.
However, for many self-trackers, the whole purpose of self-tracking is to keep records open and online, so that others can help spot connections/issues in your data and encourage continued progress.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com