Abstract

We proposed a method for Human action Recognition. It is based on the construction of a set of templates for each activity. Each template is constructed based on the Accumulated Motion Image of the Video. Each template contains where motion has occurred in the video. FFT Transform is applied to each template. A 3D Spatiotemporal Volume is generated for each class. A Single action Maximum average Correlation height Filter is generated for each class. The filter is applied to the test video and using the threshold the actions are classified. The experiments are conducted on Weizmann dataset.

Keywords:

Accumulated motion image, Fourier transform, human action recognition, maximum average correlation height filter,

References

Competing interests

The authors have no competing interests.

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The authors have no competing interests.