Share Email Print

Proceedings Paper

3D change detection in staggered voxels model for robotic sensing and navigation
Author(s): Ruixu Liu; Brandon Hampshire; Vijayan K. Asari
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

3D scene change detection is a challenging problem in robotic sensing and navigation. There are several unpredictable aspects in performing scene change detection. A change detection method which can support various applications in varying environmental conditions is proposed. Point cloud models are acquired from a RGB-D sensor, which provides the required color and depth information. Change detection is performed on robot view point cloud model. A bilateral filter smooths the surface and fills the holes as well as keeps the edge details on depth image. Registration of the point cloud model is implemented by using Random Sample Consensus (RANSAC) algorithm. It uses surface normal as the previous stage for the ground and wall estimate. After preprocessing the data, we create a point voxel model which defines voxel as surface or free space. Then we create a color model which defines each voxel that has a color by the mean of all points’ color value in this voxel. The preliminary change detection is detected by XOR subtract on the point voxel model. Next, the eight neighbors for this center voxel are defined. If they are neither all ‘changed’ voxels nor all ‘no changed’ voxels, a histogram of location and hue channel color is estimated. The experimental evaluations performed to evaluate the capability of our algorithm show promising results for novel change detection that indicate all the changing objects with very limited false alarm rate.

Paper Details

Date Published: 19 May 2016
PDF: 7 pages
Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 98690J (19 May 2016); doi: 10.1117/12.2227215
Show Author Affiliations
Ruixu Liu, Univ. of Dayton (United States)
Brandon Hampshire, Univ. of Dayton (United States)
Vijayan K. Asari, Univ. of Dayton (United States)

Published in SPIE Proceedings Vol. 9869:
Mobile Multimedia/Image Processing, Security, and Applications 2016
Sos S. Agaian; Sabah A. Jassim, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?