Image feature matching for scene extraction from single-camera videos

Show simple item record

dc.contributor.advisor Akiyama, Yasushi, 1972-
dc.creator Joshi, Hemanchal
dc.date.accessioned 2022-01-11T16:11:05Z
dc.date.available 2022-01-11T16:11:05Z
dc.date.issued 2021
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/30291
dc.description 1 online resource (205 pages) : colour illustrations, charts, graphs.
dc.description Includes abstract.
dc.description Includes bibliographical references (pages 197-205).
dc.description.abstract Template matching is a widely-used technique for finding an image or a part of an image that matches the specified reference image, called a template. A tool was implemented using this technique to find template images in a soccer video. In the initial implementation of this tool, one approach of the template matching, template-based matching, was used but it lacked versatility and had some limitations for analyzing single-camera videos. In this thesis, we first analysed the existing template matching approach and identified its limitations. We then explored alternate approaches that could potentially address the identified limitations and found that feature-based template matching produced most optimal results for the tested videos. Feature-based template matching uses keypoints localization to detect the template in an image. The results showed that feature-based template matching could detect templates despite variances in the video quality and overcome some of the identified limitations of the existing approach. en_CA
dc.description.provenance Submitted by Greg Hilliard (greg.hilliard@smu.ca) on 2022-01-11T16:11:05Z No. of bitstreams: 1 Joshi_Hemanchal_MASTERS_2021.pdf: 21050728 bytes, checksum: 0d7ef825b061eae3c4a9bd62c8750b42 (MD5) en
dc.description.provenance Made available in DSpace on 2022-01-11T16:11:05Z (GMT). No. of bitstreams: 1 Joshi_Hemanchal_MASTERS_2021.pdf: 21050728 bytes, checksum: 0d7ef825b061eae3c4a9bd62c8750b42 (MD5) Previous issue date: 2021-12-21 en
dc.language.iso en en_CA
dc.publisher Halifax, N.S. : Saint Mary's University
dc.subject.lcsh Template matching (Digital image processing)
dc.subject.lcsh Pattern recognition systems
dc.subject.lcsh Artificial intelligence
dc.subject.lcsh Digital video
dc.title Image feature matching for scene extraction from single-camera videos en_CA
dc.type Text en_CA
thesis.degree.name Master of Science in Computing and Data Analytics
thesis.degree.level Masters
thesis.degree.discipline Computing and Data Analytics Program
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
 Find Full text

Files in this item

 
 

This item appears in the following Collection(s)

Show simple item record