Human-of-interest tracking system for natural interaction
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Uhm, Taeyoung | - |
dc.contributor.author | Park, Hanhoon | - |
dc.contributor.author | Park, Jong-Il | - |
dc.date.accessioned | 2022-07-16T22:16:13Z | - |
dc.date.available | 2022-07-16T22:16:13Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2011-01 | - |
dc.identifier.issn | 0747-668X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/169229 | - |
dc.description.abstract | There have been considerable endeavors for robustly tracking human (his/her whole body's or body parts') gestures for achieving na tural human-computer interaction but it is still a challenging problem in vision-based research area. In particular, trackings electively o ne's-of-interest (or his/her body parts') gestures, which is necessary in multi-user applications, is more difficult and has been less developed. In this paper, we propose a simple yet effective method for human-of-interest tracking, which combines a background subtraction method using difference keying, a skin region detection method in YCbCr color space, a region-of-interest detection method using the depth information from infrared images, and a region classification method based on a set of Haar-like features and A daboost learning algorithm. Based on the proposed method, we built a proof-of-concept system. The system proved to be able to provide natural frontal-view interaction with one of interest in real-time and robustly in a cluttered indoor and multi-user environments. We expect that our interaction system can provide a practical solution for natural interaction with digital in formation display systems and interactive game or education systems. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Human-of-interest tracking system for natural interaction | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Jong-Il | - |
dc.identifier.doi | 10.1109/ICCE.2011.5722775 | - |
dc.identifier.scopusid | 2-s2.0-79952917153 | - |
dc.identifier.bibliographicCitation | Digest of Technical Papers - IEEE International Conference on Consumer Electronics, pp.623 - 624 | - |
dc.relation.isPartOf | Digest of Technical Papers - IEEE International Conference on Consumer Electronics | - |
dc.citation.title | Digest of Technical Papers - IEEE International Conference on Consumer Electronics | - |
dc.citation.startPage | 623 | - |
dc.citation.endPage | 624 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Background subtraction method | - |
dc.subject.keywordPlus | Body parts | - |
dc.subject.keywordPlus | Classification methods | - |
dc.subject.keywordPlus | Depth information | - |
dc.subject.keywordPlus | Display system | - |
dc.subject.keywordPlus | Education systems | - |
dc.subject.keywordPlus | Haar-like features | - |
dc.subject.keywordPlus | Human-computer | - |
dc.subject.keywordPlus | Infrared images | - |
dc.subject.keywordPlus | Interaction systems | - |
dc.subject.keywordPlus | Interactive games | - |
dc.subject.keywordPlus | Multi-user applications | - |
dc.subject.keywordPlus | Multiuser environments | - |
dc.subject.keywordPlus | Natural interactions | - |
dc.subject.keywordPlus | Practical solutions | - |
dc.subject.keywordPlus | Proof of concept | - |
dc.subject.keywordPlus | Region detection | - |
dc.subject.keywordPlus | Region of interest | - |
dc.subject.keywordPlus | Research areas | - |
dc.subject.keywordPlus | Tracking system | - |
dc.subject.keywordPlus | Vision based | - |
dc.subject.keywordPlus | Whole body | - |
dc.subject.keywordPlus | Ycbcr color spaces | - |
dc.subject.keywordPlus | Consumer electronics | - |
dc.subject.keywordPlus | Display devices | - |
dc.subject.keywordPlus | Image enhancement | - |
dc.subject.keywordPlus | Infrared imaging | - |
dc.subject.keywordPlus | Knowledge management | - |
dc.subject.keywordPlus | Learning algorithms | - |
dc.subject.keywordPlus | Human computer interaction | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/5722775 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.