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A panoramic video system based on exposure adjustment and non-linear fusion

  • Linlin Yang
  • , Dandan Du
  • , Baochang Zhang*
  • , Wankou Yang
  • *Corresponding author for this work
  • Beihang University
  • Southeast University, Nanjing

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a new video stitch method based on the exposure adjustment and nonlinear fusion. To solve the challenging problem of exposure difference between cameras, we propose the exposure adjustment method to deal with luminance difference among images in the YCrCb color space; As for the ghosting problem in the video stitch, we propose a nonlinear fusion algorithm based on, which achieves a much better performance than traditional linear fusion method, especially when there is a big disparity between cameras. The proposed method is real-time and efficient for a video surveillance system.

Original languageEnglish
Title of host publicationBiometric Recognition - 10th Chinese Conference, CCBR 2015, Proceedings
EditorsJucheng Yang, Zhenan Sun, Shiguang Shan, Jinfeng Yang, Jianjiang Feng, Weishi Zheng
PublisherSpringer Verlag
Pages499-507
Number of pages9
ISBN (Print)9783319254166
DOIs
StatePublished - 2015
Event10th Chinese Conference on Biometric Recognition, CCBR 2015 - Tianjin, China
Duration: 13 Nov 201515 Nov 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9428
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th Chinese Conference on Biometric Recognition, CCBR 2015
Country/TerritoryChina
CityTianjin
Period13/11/1515/11/15

Keywords

  • Image fusion
  • Image registration
  • Image stitching
  • Panoramic video
  • SIFT

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