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Sensors 2017, 17(2), 337; doi:10.3390/s17020337

Robust Video Stabilization Using Particle Keypoint Update and l1-Optimized Camera Path

1
Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea
2
ADAS Camera Team, LG Electronics, 322 Gyeongmyeong-daero, Seo-gu, Incheon 22744, Korea
3
Future Technology R&D, SK Telecom, Sunae-dong, Bundang-gu, Seongnam 13595, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Received: 17 October 2016 / Revised: 3 February 2017 / Accepted: 4 February 2017 / Published: 10 February 2017
(This article belongs to the Special Issue Video Analysis and Tracking Using State-of-the-Art Sensors)
View Full-Text   |   Download PDF [5556 KB, uploaded 10 February 2017]   |  

Abstract

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. View Full-Text
Keywords: video stabilization; feature extraction; camera motion estimation; video enhancement video stabilization; feature extraction; camera motion estimation; video enhancement
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Jeon, S.; Yoon, I.; Jang, J.; Yang, S.; Kim, J.; Paik, J. Robust Video Stabilization Using Particle Keypoint Update and l1-Optimized Camera Path. Sensors 2017, 17, 337.

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