Incorporating global and local observation models for human pose tracking

Nam Gyu Cho, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Tracking human pose is attractive to many applications such as Human Robot Interface (HRI), motion capture system, video surveillance, action recognition, etc. Though various methods were introduced during last decades, including both color and depth camera based, it is still considered that feature sets for them are not discriminative enough. In this paper, we propose a human pose tracking method based on a graphical model which incorporates global and local feature sets including Histogram of Oriented Gradients (HOG) and color distribution. HumanEva-I dataset is used for testing effectiveness of the proposed method.

Original languageEnglish
Title of host publication22nd IEEE International Symposium on Robot and Human Interactive Communication
Subtitle of host publication"Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013
Pages25-30
Number of pages6
DOIs
Publication statusPublished - 2013
Event22nd IEEE International Symposium on Robot and Human Interactive Communication: "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013 - Gyeongju, Korea, Republic of
Duration: 2013 Aug 262013 Aug 29

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

Other22nd IEEE International Symposium on Robot and Human Interactive Communication: "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013
CountryKorea, Republic of
CityGyeongju
Period13/8/2613/8/29

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

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  • Cite this

    Cho, N. G., & Lee, S. W. (2013). Incorporating global and local observation models for human pose tracking. In 22nd IEEE International Symposium on Robot and Human Interactive Communication: "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013 (pp. 25-30). [6628526] (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication). https://doi.org/10.1109/ROMAN.2013.6628526