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Proceedings Paper

Silhouette extraction using color and depth information
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Paper Abstract

Recently applications involving capture of scenes with object of interest among surroundings gained high popularity. Such applications include video surveillance, human motion capture, human-computer interaction, etc. For proper analysis of the object of interest a necessary step is to separate the object of interest from surroundings, i. e. perform background subtraction (or silhouette extraction). This is a challenging task because of several problems, which are slight changes in background; shadows caused by the object of interest; and similarly colored objects. In this work we propose a new method for extracting the silhouette of an object of interest, based upon the joint use of both depth (range) and color data. Depth-based data is independent of color image data, and hence not affected by the limitations associated with color-based segmentation, such as shadows and similarly colored objects. At the initial moment an image of the background (not containing the object of interest) is present, and it is updated in every frame taking into account extracted silhouette and using "running average". Silhouette extraction method is based on k-means clustering of depth data and color difference data, and per-pixel silhouette mask computation, using clusters' centroids. The proposed solution is very fast and allows real-time processing of video. Developed algorithm has been successfully applied in human recognition application and provided good results for modeling human figure.

Paper Details

Date Published: 30 January 2012
PDF: 9 pages
Proc. SPIE 8290, Three-Dimensional Image Processing (3DIP) and Applications II, 82900B (30 January 2012); doi: 10.1117/12.907690
Show Author Affiliations
Ekaterina Tolstaya, Samsung Electronics Co., Ltd. (Russian Federation)
Victor Bucha, Samsung Electronics Co., Ltd. (Russian Federation)

Published in SPIE Proceedings Vol. 8290:
Three-Dimensional Image Processing (3DIP) and Applications II
Atilla M. Baskurt; Robert Sitnik, Editor(s)

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