Hand detection using facial information
- Authors
- Han, S.; Park, S.; Kim, M.-J.; Paik, J.
- Issue Date
- Oct-2016
- Publisher
- IEEE Computer Society
- Keywords
- Hand detection; Human computer interaction
- Citation
- IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin, v.2016-October, pp 167 - 168
- Pages
- 2
- Journal Title
- IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
- Volume
- 2016-October
- Start Page
- 167
- End Page
- 168
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/48424
- DOI
- 10.1109/ICCE-Berlin.2016.7684746
- ISSN
- 2166-6814
- Abstract
- This paper presents a robust hand detection algorithm using the facial information. The proposed algorithm consists of four steps: (i) detection of a face, (ii) generation of regions of interest (ROI) to detect hands, (iii) skin color extraction from the face region, and (iv) detection of hands using the face skin color in the ROI. The proposed algorithm can reduce false detection caused by a similar skin color, and provides a successful detection rate up to 92 percent.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/48424)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.