Type

Journal Article

Authors

Heather J. Ruskin
Cathal Gurrin
Martin Crane
Na Li

Subjects

Mathematics

Topics
random matrix theory rmt event detection correlation matrix statistical physics random matrix theory image processing cross correlation lifelog

Applying random matrix theory filters on SenseCam images (2013)

Abstract Even though Microsoft’s SeneseCam can be effective as a memory-aid device, there exists a substantial challenge in effectively managing the vast amount of images that are maintained by this device. Deconstructing a sizeable collection of images into meaningful events for users represents a significant task. Such events may be identified by applying Random Matrix Theory (RMT) to a cross-correlation matrix C that has been constructed using SenseCam lifelog data streams. Overall, the RMT technique proves promising for major event detection in SenseCam images.
Collections Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Subject = Computer Science: Image processing
Ireland -> Dublin City University -> Publication Type = Article
Ireland -> Dublin City University -> Subject = Physical Sciences: Statistical physics
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Lifelog

Full list of authors on original publication

Heather J. Ruskin, Cathal Gurrin, Martin Crane, Na Li

Experts in our system

1
Heather J. Ruskin
Dublin City University
Total Publications: 63
 
2
Cathal Gurrin
Dublin City University
Total Publications: 182
 
3
Martin Crane
Dublin City University
Total Publications: 47
 
4
Na Li
Dublin City University
Total Publications: 11