NDLI: Foreground extraction for freely moving RGBD cameras

Content Provider	IET Digital Library
Author	Junejo, Imran N. Ahmed, Naveed
Abstract	In this study, the authors propose a novel method to perform foreground extraction for freely moving RGBD cameras. Although the field of foreground extraction or background subtraction has been explored by the computer vision researcher community since a long time, the depth-based subtraction is relatively new and has not been extensively addressed as of yet. Most of the current methods make heavy use of geometric reconstruction, making the solutions quite restrictive. In this study, the authors make a novel use of RGB and depth data: from the RGB frame, they first extract corner features and then represent these features with the histogram of oriented gradients (HoG) descriptor. They then train a non-linear SVM on these HoG descriptors. During the test phase, they make use of the fact that the foreground object has a distinct depth ordering with respect to the rest of the scene. Hence, they use the positively classified features from accelerated segment test (FAST) features on the test frame to initiate a region growing algorithm to obtain an accurate foreground segmentation from the depth data alone. The authors demonstrate the proposed method on six datasets, and demonstrate encouraging quantitative and qualitative results.
Starting Page	322
Ending Page	331
Page Count	10
ISSN	17519632
Volume Number	12
e-ISSN	17519640
Issue Number	Issue 3, Apr (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/12/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2017.0187
Journal	IET Computer Vision
Publisher Date	2017-11-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Background Subtraction Camera Computer Vision Computer Vision And Image Processing Technique Corner Feature Extraction Depth Data Depth Ordering Depth-based Subtraction FAST Feature Feature Extraction Foreground Extraction Freely Moving RGBD Cameras Geometric Reconstruction Histogram of Oriented Gradient Descriptor HoG Descriptor Image Colour Analysis Image Recognition Image Reconstruction Image Sonsor Knowledge Engineering Technique Nonlinear SVM Training RGB Frame Support Vector Machine
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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