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Motion estimation using maximum sub-image and sub-pixel phase correlation on a DSP platform
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DOI：10.1007/s11042-018-7146-3.png)
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Abstract
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Motion estimation is a key step for many video process systems, but it usually suffers from low precision in complex imaging scenarios, as well as the problem of real-time processing. This paper proposes an accurate and fast motion estimation algorithm using maximum sub-image and sub-pixel phase correlation implemented on a DSP platform. Firstly, a maximum sub-image is extracted to contain the image content as much as possible, which both satisfies the requirement of Fourier precondition and the wide coverage of complete background. And then, the extracted sub-image is down-sampled with median filter to increase the signal-noise-ratio and decrease the computation load. Secondly, a sub-pixel motion estimation is used to compensate the losing precision due to down-sampling, and keep the range of motion estimation. Finally, the proposed motion estimation algorithm is implemented on a single core TMS320C6678 DSP platform, and it is accelerated by applying multistage data cache and advanced data access. Experiments demonstrate the accuracy of the proposed motion estimation algorithm in complex scenarios. Meanwhile, it can achieve 7.4ms/frame for sub-image with 512x512 pixels size and 29.6ms/frame for sub-image with 1024x1024 pixels size, respectively.
Keywords:
Motion estimation
Phase correlation
Maximum sub-image
Sub-pixel
DSP platform
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