A Robust and Fast Motion Segmentation Method for Video Sequences

2007 ◽  
Author(s):  
Ying-hong Liang ◽  
Sen Guo ◽  
Zhi-yan Wang ◽  
Xiao-wei Xu ◽  
Xiao-ye Cao
Keyword(s):  
Motion Segmentation ◽  
Video Sequences ◽  
Segmentation Method ◽  
Fast Motion

scholarly journals Motion Segmentation by New Three-View Constraint from a Moving Camera

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Fuyuan Xu ◽  
Guohua Gu ◽  
Kan Ren ◽  
Weixian Qian
Keyword(s):  
Motion Segmentation ◽  
Image Sequence ◽  
New Method ◽  
Video Sequences ◽  
Reference Plane ◽  
Projective Structure ◽  
Multiple Views ◽  
Epipolar Constraint ◽  
Surface Degradation ◽  
Moving Camera

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.

Motion segmentation method for hybrid characteristic on human motion

2009 ◽  
Vol 42 (4) ◽  
pp. 436-442 ◽  
Author(s):  
Newman Lau ◽  
Ben Wong ◽  
Daniel Chow
Keyword(s):  
Motion Segmentation ◽  
Human Motion ◽  
Segmentation Method
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