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Feature Based Image Mosaicing using Regions of Interest for Wide Area Surveillance Camera Arrays with Known Camera Ordering

Ballard, Brett S.
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1304090273

Abstract Details

2011, Master of Science (M.S.), University of Dayton, Electrical Engineering.
Today, modern surveillance systems utilizing camera arrays can capture several square miles of ground activity at high resolution from a single aircraft. A camera array uses multiple cameras to capture images synchronously with partial overlap between cameras' fields of view. This allows a wide area to be monitored continuously in real time by image analysts or processed for information such as object identification and location tracking. The task of combining these images from each individual camera into one large image containing all of the images' views of the scene activity is commonly called image mosaicing in the field of computer vision. Though the process of image mosaicing is not new, what makes image mosaicing a topic of current research is the difficulty and variety of both problems and solutions. The objective of this thesis is to demonstrate the most suitable system to mosaicing images captured by wide area surveillance camera arrays with known camera ordering by using regions of interest combined with a feature based approach. The proposed system utilizes algorithms for feature extraction, matching, and estimation. The key difference between the proposed mosaicing system and prior successful mosaicing systems within other application domains is the use of known camera ordering. In many previously researched mosaicing systems no assumption is made for camera order, and in fact in some applications there is no assumption that images may even be viewing the same scene at all. However, for applications involving wide area surveillance camera arrays these assumptions are perfectly valid. This allows bounded regions of interest near the appropriate image borders to be used which is demonstrated in the proposed system to increase performance in both pixel accuracy and mosaic computation times over the more generalized mosaicing approach.
Eric Balster, PhD (Committee Chair)
Vijayan Asari, PhD (Committee Member)
John Loomis, PhD (Committee Member)
71 p.
Electrical Engineering; Remote Sensing; Scientific Imaging
regions of interest; roi; known camera ordering; image mosaicing; feature based homography; image stitching; stereo computer vision; wide area surveillance; camera array;

Recommended Citations

Citations

  • Ballard, B. S. (2011). Feature Based Image Mosaicing using Regions of Interest for Wide Area Surveillance Camera Arrays with Known Camera Ordering [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1304090273

    APA Style (7th edition)

  • Ballard, Brett. Feature Based Image Mosaicing using Regions of Interest for Wide Area Surveillance Camera Arrays with Known Camera Ordering. 2011. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1304090273.

    MLA Style (8th edition)

  • Ballard, Brett. "Feature Based Image Mosaicing using Regions of Interest for Wide Area Surveillance Camera Arrays with Known Camera Ordering." Master's thesis, University of Dayton, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1304090273

    Chicago Manual of Style (17th edition)

dayton1304090273
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© 2011, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.