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Optical Flow Estimation with Occlusion Detection

1,2 and 1,2,*
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China
Department of Automation, University of Science and Technology of China, Hefei 230026, China
Author to whom correspondence should be addressed.
Algorithms 2019, 12(5), 92;
Received: 19 March 2019 / Revised: 23 April 2019 / Accepted: 23 April 2019 / Published: 1 May 2019
PDF [3853 KB, uploaded 13 May 2019]


The dense optical flow estimation under occlusion is a challenging task. Occlusion may result in ambiguity in optical flow estimation, while accurate occlusion detection can reduce the error. In this paper, we propose a robust optical flow estimation algorithm with reliable occlusion detection. Firstly, the occlusion areas in successive video frames are detected by integrating various information from multiple sources including feature matching, motion edges, warped images and occlusion consistency. Then optimization function with occlusion coefficient and selective region smoothing are used to obtain the optical flow estimation of the non-occlusion areas and occlusion areas respectively. Experimental results show that the algorithm proposed in this paper is an effective algorithm for dense optical flow estimation. View Full-Text
Keywords: optical flow estimation; occlusion detection; warped image optical flow estimation; occlusion detection; warped image

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Wang, S.; Wang, Z. Optical Flow Estimation with Occlusion Detection. Algorithms 2019, 12, 92.

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