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Topic: Behavior Recognition via Sparse-Temporal Features
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Joshua  6
10-10-2006 03:31 AM ET (US)
"The size of the cuboid is set to contain most of the volume of data that contributed to the response function at that interest point."
Is this size variable for each cuboid (interest point)? If so, are similar cuboid types going to be guaranteed to have similar cuboid sizes to make the comparisons? How does the spatial scale factor (sigma) affect the size?
On average, how many different features (cuboid types) are needed to identify unique behavior?
Is there an expectation that using the temporal positions of the features will yield much improved performance?
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