Sciweavers

Share
ACCV
2009
Springer

3D Motion Segmentation Using Intensity Trajectory

9 years 6 months ago
3D Motion Segmentation Using Intensity Trajectory
Motion segmentation is a fundamental aspect of tracking in a scene with multiple moving objects. In this paper we present a novel approach to clustering individual image pixels associated with different 3D rigid motions. The basic idea is that the change of the intensity of a pixel can be locally approximated as a linear function of the motion of the corresponding imaged surface. To achieve appearance-based 3D motion segmentation we capture a sequence of local image samples at nearby poses, and assign for each pixel a vector that represents the intensity changes for that pixel over the sequence. We call this vector of intensity changes a pixel “intensity trajectory”. Similar to 2D feature trajectories, the intensity trajectories of pixels corresponding to the same motion span a local linear subspace. Thus the problem of motion segmentation can be cast as that of clustering local subspaces. We have tested this novel approach using some real image sequences. We present results that ...
Hua Yang, Greg Welch, Jan-Michael Frahm, Marc Poll
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where ACCV
Authors Hua Yang, Greg Welch, Jan-Michael Frahm, Marc Pollefeys
Comments (0)
books