Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

DeepTrack: learning discriminative feature representations by convolutional neural networks for visual tracking

Simple item page
dc.contributor.authorLi, Hanxi
dc.contributor.authorLI, Yi
dc.contributor.authorPorikli, Fatih
dc.coverage.spatialUK
dc.date.accessioned2015-12-08T22:45:59Z
dc.date.created1st - 5th September 2014
dc.date.issued2014
dc.date.updated2016-06-14T09:14:42Z
dc.identifier.urihttp://hdl.handle.net/1885/37950
dc.publisherBMVA Press
dc.relation.ispartofseriesBritish Machine Vision Conference
dc.sourceProceedings of the British Machine Vision Conference 2014
dc.source.urihttp://www.bmva.org/bmvc/2014/papers/paper028/index.html
dc.titleDeepTrack: learning discriminative feature representations by convolutional neural networks for visual tracking
dc.typeConference paper
local.contributor.affiliationLi, Hanxi, College of Engineering and Computer Science, ANU
local.contributor.affiliationLI, Yi, College of Engineering and Computer Science, ANU
local.contributor.affiliationPorikli, Fatih, College of Engineering and Computer Science, ANU
local.contributor.authoruidLi, Hanxi, u4437149
local.contributor.authoruidLI, Yi, u5000272
local.contributor.authoruidPorikli, Fatih, u5405232
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080401 - Coding and Information Theory
local.identifier.absseo899999 - Information and Communication Services not elsewhere classified
local.identifier.ariespublicationU5431022xPUB155
local.identifier.scopusID2-s2.0-84919742886
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Li_DeepTrack:_learning_2014.pdf
Size:
3.91 MB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS