Higher order geometrical image features representation for action recognition

Higher order image features based on Hu moment invariants have been used successfully in a variety of image analysis tasks. This study presents the application of an invariant to unequal rescaling of the image in constructing image features suitable for action recognition. These features are computed for video images and can be used for classification. Experimental results suggest that this approach is effective and more accurate when compared with traditional geometric invariants.