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A very fast edge map-based algorithm for accurate motion estimation

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Abstract

Motion estimation plays a very crucial role in many video applications. Hence, an accurate and fast algorithm is required in real-time applications. Although exhaustive block matching (EBM) algorithm is the best algorithm used for motion estimation in terms of performance, it is computationally very expensive. Several algorithms have been developed in the literature to reduce the computational time required by the EBM algorithm; however, their performance is not comparable to that of EBM. In this paper, we propose an extremely fast technique for motion estimation based on the edge map of only a fraction of the frame. Extensive experiments are carried out, and the results show that the proposed technique provides a performance comparable to that of the EBM algorithm, with a very low computational complexity.

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Acknowledgements

This work was supported in part by the Natural Sciences and Engineering Research Council (NSERC) of Canada and in part by the Regroupement Stratgique en Microlectronique du Qubec (ReSMiQ).

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, H3G 1M8, Canada

    Abdullah Al-Amaren, M. Omair Ahmad & M. N. S. Swamy

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  1. Abdullah Al-Amaren
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  2. M. Omair Ahmad
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  3. M. N. S. Swamy
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Correspondence to M. Omair Ahmad.

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Al-Amaren, A., Ahmad, M.O. & Swamy, M.N.S. A very fast edge map-based algorithm for accurate motion estimation. SIViP 15, 1609–1616 (2021). https://doi.org/10.1007/s11760-021-01896-4

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