IEEE PROJECTS 2012-13 /

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20 Οκτ 2013 (πριν από 3 χρόνια και 10 μήνες)

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IEEE Transactions

IEEE PROJECTS 2012
-
13

/
JAVA & .NET



Silicon Circuits and Computer Technology

33/19, 6
th

street, Jai Nagar, Arumbakkam, (Opp to CMBT), Chennai
-
600 106

Contact:
044
-
43853142/www.scct.in/projects@scct.in

View
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Invariant Action Recognition Based on Artificial
Neural Networks



ABSTRACT


A novel view invariant action recognition method based on neural network representation and
recognition is proposed. The novel representation of action videos is based on learning spatially related
human body posture prototypes using self organizing maps. Fuzzy distances from human body posture
prototypes are used to produce a time invariant acti
on representation. Multilayer perceptrons are used for
action classification. The algorithm is trained using data from a multi
-
camera setup. An arbitrary number
of cameras can be used in order to recognize actions using a Bayesian framework. The proposed m
ethod
can also be applied to videos depicting interactions between humans, without any modification. The use
of information captured from different viewing angles leads to high classification performance. The
proposed method is the first one that has been
tested in challenging experimental setups, a fact that
denotes its effectiveness to deal with most of the open issues in action recognition.