Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Dual Fast and Slow Feature Interaction in Biologically Inspired Visual
  Recognition of Human Action   Computational neuroscience studies that have examined human visual system
through functional magnetic resonance imaging (fMRI) have identified a model
where the mammalian brain pursues two distinct pathways (for recognition of
biological movement tasks). In the brain, dorsal stream analyzes the
information of motion (optical flow), which is the fast features, and ventral
stream (form pathway) analyzes form information (through active basis model
based incremental slow feature analysis ) as slow features. The proposed
approach suggests the motion perception of the human visual system composes of
fast and slow feature interactions that identifies biological movements. Form
features in the visual system biologically follows the application of active
basis model with incremental slow feature analysis for the extraction of the
slowest form features of human objects movements in the ventral stream.
Applying incremental slow feature analysis provides an opportunity to use the
action prototypes. To extract the slowest features episodic observation is
required but the fast features updates the processing of motion information in
every frames. Experimental results have shown promising accuracy for the
proposed model and good performance with two datasets (KTH and Weizmann).

18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
16
The categories of this paper are: stat
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph