Okay, the question concerns 'static' image processing models. You often find research studies using static object images that is while system is actually discussing a biologically inspired neural model. Isn't this too much? While we all know that by inheritance vision is dynamic. Moreover, some authors use image features! do they really know what it implies? I mean its unlimited range or the general data dimension that it embraces.
pl consult the interesting article
http://www.sciencedirect.com/science/article/pii/S0925231215000326
https://www.academia.edu/529990/A_biologically_inspired_system_for_action_recognition
Dear Professor, thanking you so much for sending me these manuscripts. I am sure they will help me in looking back at conventional models. However, I believe my question somehow had an intention of blending current with future trends in proactive vision. Great regards Homayoun
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