Stationary wavelet transformation based video stabilization and stitching-Reference-Cited by-同舟云学术

Stationary wavelet transformation based video stabilization and stitching

Published:2022-09-22 Issue:5 Volume:43 Page:5759-5770
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Krishnakumar K.¹,Gandhi S. Indira²,Sivaranjani C.K.³

Affiliation:

1. Department of Multimedia, VIT School of Design (V-SIGN), Vellore Institute of Technology, Vellore, Tamil Nadu, India

2. Department of Electronics Engineering, Madras institute of Technology, Anna University, Chennai, Tamil Nadu, India

3. Department of Electronics and Communication Engineering, Arulmurugan College of Engineering, Thennilai East, Tamil Nadu, India

Abstract

Video stitching has become popular due to recent advancements in technology to provide broad views and high-resolution displays. Comprehensive view or panoramic videos and high-resolution displays are created by stitching videos captured by multiple cameras or by a single camera at different points of time. This paper proposes a video stitching technique with stabilization for moving multi-camera videos adopting the wavelet decomposition technique. This method uses only those feature points that reduce the mismatching and increase the precision in estimating the transformation from among the feature points identified by the Speed-Up Robust Features detector. This work differs from the similar work of others in two directions. Instead of using all selected feature points for the matching purpose, only significant among them are used. Unlike others, the frames are stabilized before they are stitched.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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