scholarly journals Coherent Motion Segmentation in Moving Camera Videos Using Optical Flow Orientations

Author(s):  
Manjunath Narayana ◽  
Allen Hanson ◽  
Erik Learned-Miller
2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Fuyuan Xu ◽  
Guohua Gu ◽  
Kan Ren ◽  
Weixian Qian

We propose a new method for the motion segmentation using a moving camera. The proposed method classifies each image pixel in the image sequence as the background or the motion regions by applying a novel three-view constraint called the “parallax-based multiplanar constraint.” This new three-view constraint, being the main contribution of this paper, is derived from the relative projective structure of two points in three different views and implemented within the “Plane + Parallax” framework. The parallax-based multiplanar constraint overcomes the problem of the previous geometry constraint and does not require the reference plane to be constant across multiple views. Unlike the epipolar constraint, the parallax-based multiplanar constraint modifies the surface degradation to the line degradation to detect the motion objects followed by a moving camera in the same direction. We evaluate the proposed method with several video sequences to demonstrate the effectiveness and robustness of the parallax-based multiplanar constraint.


2015 ◽  
Vol 7 (0) ◽  
pp. 163-174 ◽  
Author(s):  
Xuefeng Liang ◽  
Cuicui Zhang ◽  
Takashi Matsuyama

1989 ◽  
Author(s):  
A. Verri ◽  
S. Uras ◽  
E. D. Micheli

2021 ◽  
Author(s):  
Xianshun Wang ◽  
Dongchen Zhu ◽  
Shaojie Xu ◽  
Wenjun Shi ◽  
Yanqing Liu ◽  
...  

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 55963-55975 ◽  
Author(s):  
Cuicui Zhang ◽  
Zhilei Liu ◽  
Chongke Bi ◽  
Shuai Chang

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