Video Stabilization using Classification-based Homography Estimation for Consumer Video Camera
- Authors
- Yoon, Inhye; Jeon, Semi; Jeong, Seokhwa; Paik, Joonki
- Issue Date
- Sep-2015
- Publisher
- UNIV BASQUE COUNTRY UPV-EHU PRESS
- Keywords
- feature detection; moving object; kalman filter; video stabilization
- Citation
- 2015 IEEE 5TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - BERLIN (ICCE-BERLIN), pp 116 - 117
- Pages
- 2
- Journal Title
- 2015 IEEE 5TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - BERLIN (ICCE-BERLIN)
- Start Page
- 116
- End Page
- 117
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/48536
- DOI
- 10.1109/ICCE-Berlin.2015.7391209
- ISSN
- 0000-0000
- Abstract
- Handheld camera such as a mobile phone, action camera, and portable camcorder suffer from video instability due to unintentional shakes. This paper presents a video stabilization approach to enhance a shaky video acquired by consumer handheld camera. The proposed algorithm consists of three steps: i) generation of the binary image based on vertical class, ii) estimation of homography, and iii) frame warping for enhancing a shaky video. As a result, the proposed algorithm can remove undesired motions using optimal camera motion trajectory based on feature detection in the background region. The proposed video stabilization algorithm is suitable for consumer video devices including advanced driver assistance systems (ADAS), video surveillance systems, and aerial platforms for video enhancement.
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Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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