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Visual object perception is another, less obvious candidate (Spelke, 1994).
Visual object tracking is an important issue in computer vision.
In particular, the KF is popular in visual object tracking, because of its computational efficiency.
Visual object compression algorithm can effectively reduce the spatial dimension and reduce the plane curve.
Visual object recognition is one of the most crucial topics of computer vision.
This paper has presented a MAPF for visual object tracking under complex dynamics.
Large-scale image databases are useful for supervised learning of visual object appearance.
Visual object tracking in complex environments is an important topic in the intelligent surveillance field.
In Section 3, we show the embedded tracking algorithm for visual object compression.
In recent years, visual object tracking technologies have been used to track preceding vehicles in advanced driver assistance systems (ADASs).
These findings imply a crucial contribution of selective attentional resources to visual object integration.
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