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Although the shape of Activity Areas is characteristic of many activities and is effectively used for their recognition, there also exist categories of activities with very similar Activity Areas.
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These effects were present even prior to the onset of perceptual alternations, as we presented the stimuli too briefly for alternations to occur and shape the pattern of activity we observed.
A profile-based synthesis approach is applied to generate various shapes of activity profiles for multiple sections along the reactor during the optimisation of non-uniform catalyst pellets.
The shape of the Activity Areas is used for recognition of the activities taking place: the outline of each Activity Area is described by the Fourier Shape Descriptors (see Section 5), which are compared to each other using the Euclidean distance, for recognition.
For nontranslational activities, Fourier Shape Descriptors represent the shape of each Activity Area, and are compared with each other, for recognition.
Both the shape of the Activity Area and motion information from the Activity History Area are used for accurate activity recognition, as detailed in the sections that follow.
The activity taking place in each subsequence is then characterized by the shape of its Activity Area or on its magnitude and direction, derived from the Activity History Area.
The shape of these activity areas can be used for the classification of the human activities and events taking place in a video and the subsequent extraction of higher-level semantics.
The shape of their activity pattern did change throughout the year.
The shape of the Activity Areas can be described by estimating the Fourier Descriptors (FDs) [35] of their outlines.
The shape of the Activity Areas and the direction and magnitude of motion are derived from the Activity History Area, to be used for recognition.
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