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Robust Optical Flow Estimation Using Tchebichef Moment Invariant Feature

  • Research Article - Electrical Engineering
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Abstract

In this paper, orthogonal moment invariant-based features are used to compute 2D optical flow from sequence of images. The gray level of pixel is described in terms of its local neighborhood using Tchebichef moment invariants rather than its individual intensity value. The description is then normalized in order to make it insensitive to intensity fluctuations due to noise or other perturbations such as varying illumination conditions. The principle of conservation of moment invariance is used to derive overdetermined system of 2D motion constraint equations in local neighborhood of each pixel. The velocity field is then estimated using the least square method. Experimental results are performed on sequential video and thermal image frames under varying environmental conditions. The run time, robustness against noisy and varying illumination conditions and rotation invariance of proposed method are compared with already existing moment and non-moment-based techniques.

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Authors and Affiliations

  1. Multimedia Research Lab, ECE, Netaji Subhas Institute of Technology, Sect 3, Dwarka, New Delhi, 110078, India

    Vishal Kumar Pandey, Varun Saxena & Jyotsna Singh

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  1. Vishal Kumar Pandey
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  2. Varun Saxena
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  3. Jyotsna Singh
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Correspondence to Vishal Kumar Pandey.

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Pandey, V.K., Saxena, V. & Singh, J. Robust Optical Flow Estimation Using Tchebichef Moment Invariant Feature. Arab J Sci Eng 44, 6911–6921 (2019). https://doi.org/10.1007/s13369-018-03704-7

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  • DOI: https://doi.org/10.1007/s13369-018-03704-7

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