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

Fuyuan Xu, Guohua Gu, Kan Ren and Weixian Qian

Mathematical Problems in Engineering, 2015, vol. 2015, 1-14

Abstract:

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.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:546580

DOI: 10.1155/2015/546580

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