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| Paper: | IMDSP-P5.2 |
| Session: | Motion Estimation |
| Time: | Wednesday, May 19, 09:30 - 11:30 |
| Presentation: |
Poster |
| Topic: |
Image and Multidimensional Signal Processing: Image and Video Coding |
| Title: |
USING GRADIENT CORRELATION FOR SUB-PIXEL MOTION ESTIMATION OF VIDEO SEQUENCES |
| Authors: |
Vasileios Argyriou; University of Surrey | | |
| | Theodore Vlachos; University of Surrey | | |
| Abstract: |
A highly accurate and computationally efficient method is presented suitable for the estimation of motion in video sequences. The method is based on the maximization of the spatial gradient cross-correlation function, which is computed in the frequency domain and therefore can be implemented by fast transformation algorithms. We present enhancements to the baseline gradient-correlation algorithm, which further improve performance, especially in the presence of manually induced additive Gaussian noise. We also present a comparative performance analysis, which demonstrates that the proposed method outperforms the state-of-the-art in frequency-domain motion estimation, in the shape of phase correlation. |
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