research-article

An image stabilization algorithm on camera trajectory estimation and feature block matching

Authors:

Yiming Wang,

Qian Huang,

Di ZhangAuthors Info & Claims

ICIMCS '18: Proceedings of the 10th International Conference on Internet Multimedia Computing and Service

Article No.: 35, Pages 1 - 4

https://doi.org/10.1145/3240876.3240910

Published: 17 August 2018 Publication History

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Abstract

In¹ this paper, we present a novel image stabilization algorithm to deal with the random jitter by estimating camera trajectory and feature block matching. Our goal is estimating camera motion paths that consist of translation, rotation and zooming, instead of the superimposition of three main motions. The process procedure of the paper is presented as follows: firstly, SIFT transformation is used to extract frame features. Then, we compute the camera trajectory with the circular searching in cropped window and optimize the camera path through the L2-norm. Furthermore, the image is stabilized. Finally, the experimental results demonstrate the efficiency of our proposed algorithms with comparison to regular stabilization algorithms.

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Wang YHuang QSun SYe FWang Y(2019)An objective assessment method for video stabilization performanceEleventh International Conference on Digital Image Processing (ICDIP 2019)10.1117/12.2540340(189)Online publication date: 14-Aug-2019
https://doi.org/10.1117/12.2540340

Index Terms

An image stabilization algorithm on camera trajectory estimation and feature block matching
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Matching
      2. Image and video acquisition
    2. Natural language processing
      1. Machine translation

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ICIMCS '18: Proceedings of the 10th International Conference on Internet Multimedia Computing and Service

August 2018

243 pages

ISBN:9781450365208

DOI:10.1145/3240876

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 17 August 2018

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the National Natural Science Foundation of China
the Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University.
the Fundamental Research Funds of China for the Central Universities
the National Key Technology Research and Development Program of China
the Key Research and Development Program of Jiangsu Province
the Postgraduate Research & Practice Innovation Program of Jiangsu Province

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ICIMCS'18

ICIMCS'18: The 10th International Conference on Internet Multimedia Computing and Service

August 17 - 19, 2018

Nanjing, China

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Wang YHuang QSun SYe FWang Y(2019)An objective assessment method for video stabilization performanceEleventh International Conference on Digital Image Processing (ICDIP 2019)10.1117/12.2540340(189)Online publication date: 14-Aug-2019
https://doi.org/10.1117/12.2540340

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Omnidirectional Image Stabilization by Computing Camera Trajectory

Dynamic Stabilization of a Pan and Tilt Camera for Submarine Image Visualization

Feature‐based recursive observer design for homography estimation and its application to image stabilization

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