HAR (Human Activity Recognition)

The HAR component analyzes frames from static camera video recordings in order to detect the activities that occur within them in space and time. A small set of annotated frames (training set) is used to build a visual vocabulary and a multiclass model, to discriminate the most probable human activities. The detection algorithm then segments new data (testing set) in space and time to recognize the activities in it.

Contact: Konstantinos Avgerinakis– This email address is being protected from spambots. You need JavaScript enabled to view it., Alexia Briassouli – This email address is being protected from spambots. You need JavaScript enabled to view it.


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