Clothing segmentation and recoloring using background subtraction and back projection method

This paper proposes a new method to automatically segment and re-color the clothing in an image sequence. Background and foreground are separated using background subtraction method with a Gaussian mixture model built for the static scene. Skin and face areas are detected and removed on the segmente...

Full description

Saved in:
Bibliographic Details
Published in2011 18th IEEE International Conference on Image Processing pp. 3137 - 3140
Main Authors Susu Yao, Khan, I. R., Farbiz, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Adaptation models
back-projection
background subtractions
clothing segmentation
Computational modeling
Histograms
Image color analysis
image re-coloring
Image segmentation
Skin
Online AccessGet full text

Cover

More Information
Summary:This paper proposes a new method to automatically segment and re-color the clothing in an image sequence. Background and foreground are separated using background subtraction method with a Gaussian mixture model built for the static scene. Skin and face areas are detected and removed on the segmented foreground. A 2D histogram is constructed using the remaining pixels to model the probability distribution of the clothing chromaticity, which is then applied to each frame to find accurate clothing area using back projection method. The segmented clothing area is re-colored by mapping the hue value to a new one in the HSV color space to maintain the contrast of the clothing. Experiments on the real video captured with a monocular webcam are shown to demonstrate the effectiveness of the proposed algorithm for clothing segmentation and re-coloring.
ISBN:1457713047
9781457713040
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2011.6116331