Moving skin and shadow region analysis via adaptive models

Hsu Yung Cheng, Chih Chang Yu

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

Abstract

In this work, moving skin and shadow regions are analyzed and detected using adaptive mixture models. Both motion information and clues from skin and shadow properties are used to construct and update the models. The skin and shadow probabilities of each pixel are integrated into the mixture model framework. Furthermore, the adaptive mixtures are updated dynamically with learning rates adjusted by the skin and shadow probabilities. The experimental results have validated the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationICIMCS 2013 - Proceedings of the 5th International Conference on Internet Multimedia Computing and Service
Pages82-86
Number of pages5
DOIs
StatePublished - 2013
Event5th International Conference on Internet Multimedia Computing and Service, ICIMCS 2013 - Huangshan, China
Duration: 17 Aug 201319 Aug 2013

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Internet Multimedia Computing and Service, ICIMCS 2013
Country/TerritoryChina
CityHuangshan
Period17/08/1319/08/13

Keywords

  • adaptive models
  • moving skin region detection
  • shadow detection

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