IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Regular Section
Foreground Segmentation Using Morphological Operator and Histogram Analysis for Indoor Applications
Kyounghoon JANGGeun-Jun KIMHosang CHOBongsoon KANG
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2015 Volume E98.A Issue 9 Pages 1998-2003


This paper proposes a foreground segmentation method for indoor environments using depth images only. It uses a morphological operator and histogram analysis to segment the foreground. In order to compare the accuracy for foreground segmentation, we use metric measurements of false positive rate (FPR), false negative rate (FNR), total error (TE), and a similarity measure (S). A series of experimental results using video sequences collected under various circumstances are discussed. The proposed system is also designed in a field-programmable gate array (FPGA) implementation with low hardware resources.

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© 2015 The Institute of Electronics, Information and Communication Engineers
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