Next Article in Journal
Power Control and Channel Allocation Algorithm for Energy Harvesting D2D Communications
Previous Article in Journal
FASTSET: A Fast Data Structure for the Representation of Sets of Integers
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle

Optical Flow Estimation with Occlusion Detection

1,2 and 1,2,*
1
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China
2
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; https://doi.org/10.3390/a12050092
Received: 19 March 2019 / Revised: 23 April 2019 / Accepted: 23 April 2019 / Published: 1 May 2019
  |  
PDF [3853 KB, uploaded 13 May 2019]
  |  

Abstract

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
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top