Human-of-interest tracking by integrating two heterogeneous vision sensors
- Authors
- Uhm, Taeyoung; Park, Hanhoon; Seo, Dongkyun; ParPark, Jong-Il
- Issue Date
- Apr-2010
- Publisher
- IEEE
- Keywords
- H.1.2 [information systems]: user/machine systems - human information processing; Human-of-interest tracking; I.2.10 [artificial intelligence]: vision and scene understanding- intensity, color, photometry, and thresholding; Infrared intensity tracking; Intelligent sensing; Multi-vision-based human racking
- Citation
- Proceedings - IEEE Virtual Reality, pp.309 - 310
- Indexed
- SCOPUS
- Journal Title
- Proceedings - IEEE Virtual Reality
- Start Page
- 309
- End Page
- 310
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/175142
- DOI
- 10.1109/VR.2010.5444750
- ISSN
- 0000-0000
- Abstract
- Human, especially human-of-interest, detection and tracking is a necessary part for immersive and realistic human-computer interaction. Thus, we propose an intelligent multi-vision-based human detection and tracking system that consists of a visible camera, an infrared camera, a dynamic infrared lighting system, and a cold mirror. The system segments a human region of interest and tracks his/her motion. Experimental results are given for verifying the usefulness of the proposed method.
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/175142)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.