Optical flow calculation of sequential images based on compressive sampling

The compressive sampling provides a new frame for image acquiring under sub-Nyquist sampling rate. The optical flow calculation is widely used in computer vision system. In this paper, the compressive sampling theory is introduced to solve the optical flow calculation. Instead of using reconstructed original images, the optical flow field can be obtained by exploiting the spatial sparsity of gradient images and time shift feature of Fourier transform. The experiment results on real image sequence show that, under the same condition, this method is more efficient and needs less costs for sampling, communication and storage.