Motion measurement using gradient-based correlation

We present a novel motion measurement method which employs gradient-based correlation carried out in the frequency domain. The proposed method can be implemented by fast transformation algorithms and hence enjoys the advantages of computational efficiency while, at the same time, it takes full account of gradient strength and orientation which ensures the selection of salient and reliable image features. Our experimental results suggest that the proposed method outperforms established competing frequency-domain motion measurement methods, most notably phase correlation, in terms of sub-pixel accuracy for a range of test material and motion scenarios.