Real-time upper-body detection and orientation estimation via depth cues for assistive technology

Guang Yang, Mamoru Iwabuchi, Kenryu Nakamura

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Automatic and efficient human pose estimation has great practical value in video surveillance. In this paper, we explore how a consumer depth sensor can assist with upper-body detection and pose estimation more precisely in the field of assistive technology for people with disabilities, and a novel real-time upper-body pose (orientation) estimation method is presented. At first, the Haar cascade based upper-body detection is conducted, and the depth information in a fixed subregion is extracted as the input feature vector. Then, support vector machine (SVM) and naive Bayes classifier are compared for estimating the upper-body orientation. Further, in order to acquire the continuous estimation data during a long time for behavioral analysis, we also adopt the support vector regression (SVR) to train a regression model. The experimental results show the effectiveness of the proposed method.

本文言語English
ホスト出版物のタイトルProceedings of the 2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies, CIRAT 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
ページ13-18
ページ数6
DOI
出版ステータスPublished - 2013 11 4
外部発表はい
イベント2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies, CIRAT 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 - Singapore, Singapore
継続期間: 2013 4 162013 4 19

出版物シリーズ

名前Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies, CIRAT 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Conference

Conference2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies, CIRAT 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
国/地域Singapore
CitySingapore
Period13/4/1613/4/19

ASJC Scopus subject areas

  • 人工知能

フィンガープリント

「Real-time upper-body detection and orientation estimation via depth cues for assistive technology」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル