Human body part segmentation of interacting people by learning blob models

Chi Hung Chuang*, Jun-Wei Hsieh, Chun Chieh Lee, Ying Nong Chen, Luo Wei Tsai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper, a scheme is proposed for solving segmentation problem when people engage in body contact in a video sequence. First, the body parts belonging to each interacting person are extracted using the deformable triangulation technique. The color blobs of each person are learned by Gaussian mixtures model on the fly before the person is interacting with another. Finally, those learned blob models are employed as decision criteria to segment each involved person out. The experimental results show that the proposed approach handles this kind of segmentation in an effective way.

Original languageEnglish
Title of host publicationProceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2012
Pages367-370
Number of pages4
DOIs
StatePublished - 11 Oct 2012
Event2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2012 - Piraeus-Athens, Greece
Duration: 18 Jul 201220 Jul 2012

Publication series

NameProceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2012

Conference

Conference2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2012
CountryGreece
CityPiraeus-Athens
Period18/07/1220/07/12

Keywords

  • body part segmentation
  • Gaussian mixture model

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