Robust Video Stabilization Using Particle Keypoint Update andl(1)-Optimized Camera Path
| Autor: | Inhye Yoon, Jisung Kim, Jinbeum Jang, Seungji Yang, Joonki Paik, Semi Jeon |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Engineering
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology video stabilization lcsh:Chemical technology Biochemistry Article Analytical Chemistry Rendering (computer graphics) Visual surveillance 0202 electrical engineering electronic engineering information engineering Robot vision Computer vision lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation business.industry feature extraction 020206 networking & telecommunications camera motion estimation video enhancement videoenhancement Atomic and Molecular Physics and Optics Image stabilization 020201 artificial intelligence & image processing Artificial intelligence business Smoothing |
| Zdroj: | SENSORS(17): 2 Sensors, Vol 17, Iss 2, p 337 (2017) Sensors (Basel, Switzerland) Sensors; Volume 17; Issue 2; Pages: 337 |
| Popis: | Acquisition of stabilized video is an important issue for various type of digital cameras. This paper presents an adaptive camera path estimation method using robust feature detection to remove shaky artifacts in a video. The proposed algorithm consists of three steps: (i) robust feature detection using particle keypoints between adjacent frames; (ii) camera path estimation and smoothing; and (iii) rendering to reconstruct a stabilized video. As a result, the proposed algorithm can estimate the optimal homography by redefining important feature points in the flat region using particle keypoints. In addition, stabilized frames with less holes can be generated from the optimal, adaptive camera path that minimizes a temporal total variation (TV). The proposed video stabilization method is suitable for enhancing the visual quality for various portable cameras and can be applied to robot vision, driving assistant systems, and visual surveillance systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|