Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/27841
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bhowmik, Deepayan | en_UK |
dc.contributor.author | Wallace, Andrew | en_UK |
dc.date.accessioned | 2018-09-25T00:00:44Z | - |
dc.date.available | 2018-09-25T00:00:44Z | - |
dc.date.issued | 2018-09-13 | en_UK |
dc.identifier.uri | http://hdl.handle.net/1893/27841 | - |
dc.language.iso | en | en_UK |
dc.publisher | IEEE | en_UK |
dc.relation | Bhowmik D & Wallace A (2018) Statistical T+2d Subband Modelling for Crowd Counting. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 15.04.2018-20.04.2018. Calgary, Canada: IEEE, pp. 1533-1537. https://doi.org/10.1109/icassp.2018.8462345 | en_UK |
dc.rights | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_UK |
dc.subject | Feature extraction | en_UK |
dc.subject | Discrete wavelet transforms | en_UK |
dc.subject | Motion segmentation | en_UK |
dc.subject | Maximum likelihood estimation | en_UK |
dc.subject | Wavelet analysis | en_UK |
dc.title | Statistical T+2d Subband Modelling for Crowd Counting | en_UK |
dc.type | Conference Paper | en_UK |
dc.identifier.doi | 10.1109/icassp.2018.8462345 | en_UK |
dc.citation.issn | 2379-190X | en_UK |
dc.citation.spage | 1533 | en_UK |
dc.citation.epage | 1537 | en_UK |
dc.citation.publicationstatus | Published | en_UK |
dc.type.status | AM - Accepted Manuscript | en_UK |
dc.contributor.funder | Engineering and Physical Sciences Research Council | en_UK |
dc.citation.btitle | 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | en_UK |
dc.citation.conferencedates | 2018-04-15 - 2018-04-20 | en_UK |
dc.citation.conferencename | 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | en_UK |
dc.citation.date | 13/09/2018 | en_UK |
dc.citation.isbn | 9781538646588 | en_UK |
dc.publisher.address | Calgary, Canada | en_UK |
dc.contributor.affiliation | University of Sheffield | en_UK |
dc.contributor.affiliation | Heriot-Watt University | en_UK |
dc.identifier.wtid | 1004436 | en_UK |
dc.contributor.orcid | 0000-0003-1762-1578 | en_UK |
dc.date.accepted | 2018-01-29 | en_UK |
dcterms.dateAccepted | 2018-01-29 | en_UK |
dc.date.filedepositdate | 2018-09-23 | en_UK |
rioxxterms.apc | not required | en_UK |
rioxxterms.type | Conference Paper/Proceeding/Abstract | en_UK |
rioxxterms.version | AM | en_UK |
local.rioxx.author | Bhowmik, Deepayan|0000-0003-1762-1578 | en_UK |
local.rioxx.author | Wallace, Andrew| | en_UK |
local.rioxx.project | Project ID unknown|Engineering and Physical Sciences Research Council|http://dx.doi.org/10.13039/501100000266 | en_UK |
local.rioxx.freetoreaddate | 2018-09-24 | en_UK |
local.rioxx.licence | http://www.rioxx.net/licenses/all-rights-reserved|2018-09-24| | en_UK |
local.rioxx.filename | ICASSP2018-CROWD.pdf | en_UK |
local.rioxx.filecount | 1 | en_UK |
local.rioxx.source | 9781538646588 | en_UK |
Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
ICASSP2018-CROWD.pdf | Fulltext - Accepted Version | 307.71 kB | Adobe PDF | View/Open |
This item is protected by original copyright |
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.