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An image mosaicing module for wide-area surveillance

Published: 11 November 2005 Publication History

Abstract

This paper presents a fully automatic image mosaicing method for needs of wide-area video surveillance. A pure feature-based approach was adopted for finding the registration between the images. This approach provides us with several advantages. Our method is robust against illumination variations, moving objects, image rotation, image scaling, imaging noise, and is relatively fast to calculate. We have tested the performance of the proposed method against several video sequences captured from real-world scenes. The results clearly justify our approach.

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Cited By

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  • (2018)Quantitative Analysis of Real-Time Image Mosaicing Algorithms2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP)10.1109/IWSSIP.2018.8439448(1-5)Online publication date: Jun-2018
  • (2018)Local feature-based multi-object recognition scheme for surveillanceEngineering Applications of Artificial Intelligence10.1016/j.engappai.2012.03.00525:7(1373-1380)Online publication date: 27-Dec-2018
  • (2017)Fast implementation of image mosaicing on GPU2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)10.1109/CISP-BMEI.2017.8302080(1-5)Online publication date: Oct-2017
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cover image ACM Conferences
VSSN '05: Proceedings of the third ACM international workshop on Video surveillance & sensor networks
November 2005
168 pages
ISBN:1595932429
DOI:10.1145/1099396
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

New York, NY, United States

Publication History

Published: 11 November 2005

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Author Tags

  1. image mosaicing
  2. video surveillance

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MM&Sec '05
MM&Sec '05: Multimedia and Security Workshop 2005
November 11, 2005
Hilton, Singapore

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Cited By

View all
  • (2018)Quantitative Analysis of Real-Time Image Mosaicing Algorithms2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP)10.1109/IWSSIP.2018.8439448(1-5)Online publication date: Jun-2018
  • (2018)Local feature-based multi-object recognition scheme for surveillanceEngineering Applications of Artificial Intelligence10.1016/j.engappai.2012.03.00525:7(1373-1380)Online publication date: 27-Dec-2018
  • (2017)Fast implementation of image mosaicing on GPU2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)10.1109/CISP-BMEI.2017.8302080(1-5)Online publication date: Oct-2017
  • (2017)A shadow removal method for tesseract text recognition2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)10.1109/CISP-BMEI.2017.8301946(1-5)Online publication date: Oct-2017
  • (2017)Real-Time Incremental and Geo-Referenced Mosaicking by Small-Scale UAVsImage Analysis and Processing - ICIAP 201710.1007/978-3-319-68560-1_62(694-705)Online publication date: 13-Oct-2017
  • (2016)VLSI architecture for color mosaic image/video sequences2016 International Conference on Inventive Computation Technologies (ICICT)10.1109/INVENTIVE.2016.7830242(1-6)Online publication date: Aug-2016
  • (2014)Video alignment to a common referenceIEEE Winter Conference on Applications of Computer Vision10.1109/WACV.2014.6836020(808-815)Online publication date: Mar-2014
  • (2014)Hardware accelerator for real-time image resizing18th International Symposium on VLSI Design and Test10.1109/ISVDAT.2014.6881070(1-6)Online publication date: Jul-2014
  • (2012)An Image Mosaic Method Based on SIFT Feature MatchingAdvanced Materials Research10.4028/www.scientific.net/AMR.433-440.5420433-440(5420-5424)Online publication date: Jan-2012
  • (2010)Precise image registration and occlusion labelingProceedings of the IEEE 2010 National Aerospace & Electronics Conference10.1109/NAECON.2010.5712936(132-135)Online publication date: Jul-2010
  • Show More Cited By

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