Foreground Segmentation Using Morphological Operator and Histogram Analysis for Indoor Applications

Kyounghoon JANG
Geun-Jun KIM
Hosang CHO
Bongsoon KANG

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E98-A    No.9    pp.1998-2003
Publication Date: 2015/09/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E98.A.1998
Type of Manuscript: LETTER
Category: Vision
Keyword: 
motion detection,  depth image,  foreground segmentation,  morphological operator,  histogram analysis,  

Full Text: PDF(1.5MB)>>
Buy this Article



Summary: 
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.