File(s) under permanent embargo
Improving chamfer template matching using image segmentation
Version 2 2024-06-06, 02:45Version 2 2024-06-06, 02:45
Version 1 2018-09-06, 06:17Version 1 2018-09-06, 06:17
journal contribution
posted on 2024-06-06, 02:45 authored by Duc Thanh NguyenDuc Thanh Nguyen, NS Vu, TT Do, Thin NguyenThin Nguyen, John YearwoodJohn Yearwood© 2018 IEEE. This letter proposes an effective method to improve object location in Chamfer template matching (CTM) based object detection using image segmentation. In our method, object bounding boxes are iteratively adjusted to fit with the object images obtained from image segmentation in a probabilistic model. The proposed method was tested with state-of-the-art CTM-based object detectors. Experimental results have shown the proposed method improved the location accuracy of the object detectors and reduce the false alarms rate.
History
Journal
IEEE signal processing lettersVolume
25Pagination
1635-1639Location
Piscataway, N.J.Publisher DOI
ISSN
1070-9908Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2018, IEEEIssue
11Publisher
IEEEUsage metrics
Categories
Keywords
Licence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC