Efficient sparse-to-dense optical flow estimation using a learned basis and layers

2015 ◽  
Author(s):  
Jonas Wulff ◽  
Michael J. Black
Keyword(s):  
Optical Flow ◽  
Flow Estimation ◽  
Optical Flow Estimation ◽  
Dense Optical Flow

scholarly journals Optical Flow Estimation with Occlusion Detection

Algorithms ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 92
Author(s):  
Song Wang ◽  
Zengfu Wang
Keyword(s):  
Optical Flow ◽  
Feature Matching ◽  
Estimation Algorithm ◽  
Occlusion Detection ◽  
Multiple Sources ◽  
Flow Estimation ◽  
Optical Flow Estimation ◽  
Dense Optical Flow ◽  
Video Frames ◽  
Optimization Function

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.

Symmetrical Dense Optical Flow Estimation with Occlusions Detection

2007 ◽  
Vol 75 (3) ◽  
pp. 371-385 ◽  
Author(s):  
Luis Alvarez ◽  
Rachid Deriche ◽  
Théo Papadopoulo ◽  
Javier Sánchez
Keyword(s):  
Optical Flow ◽  
Flow Estimation ◽  
Optical Flow Estimation ◽  
Dense Optical Flow

Drill Pipe Counting Method Based on Local Dense Optical Flow Estimation

2021 ◽  
pp. 443-454
Author(s):  
Meng Zhou ◽  
Jin Yuan ◽  
Zhuangzhuang Gao ◽  
Zhangjin Huang
Keyword(s):  
Optical Flow ◽  
Drill Pipe ◽  
Counting Method ◽  
Flow Estimation ◽  
Optical Flow Estimation ◽  
Dense Optical Flow
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