Zobrazeno 1 - 10
of 183
pro vyhledávání: '"John N Carter"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 41:1486-1500
Recognising human attributes from surveillance footage is widely studied for attribute-based re-identification. However, most works assume coarse, expertly-defined categories, ineffective in describing challenging images. Such brittle representations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04ecafdfcad155a68e9f79accc0d0ac4
https://doi.org/10.1109/tpami.2018.2836900
https://doi.org/10.1109/tpami.2018.2836900
Autor:
Simon Mason, John N. Carter, Darren F. Mark, Marissa M. Tremblay, Abigail Robinson, Peter Chung
Publikováno v:
Geological Society of America Abstracts with Programs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32ec3c1688cfc507a7a489f8058fa1a5
https://doi.org/10.1130/abs/2020am-359588
https://doi.org/10.1130/abs/2020am-359588
There is societal need for techniques to identify subjects at a distance and when conventional biometrics are obscured, for example in fighting crime. Soft biometrics have this capability and include a subject’s height, weight, skin colour and gend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a37ad74cd3e9550ad54c733e5e763eab
https://eprints.soton.ac.uk/434294/
https://eprints.soton.ac.uk/434294/
Publikováno v:
Rheumatology. 58
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1886d143a679f437e086591c3bd1b398
https://doi.org/10.1093/rheumatology/kez057.007
https://doi.org/10.1093/rheumatology/kez057.007
Autor:
John N. Carter, Mark S. Nixon
Publikováno v:
Measurement + Control, Vol 32 (1999)
Externí odkaz:
https://doaj.org/article/a0f16138b769405fbbb551fc77874b88
Publikováno v:
IET Biometrics. 5:276-283
Soft biometrics enable human description and identification from low-quality surveillance footage. This study premises the design, collection and analysis of a novel crowdsourced dataset of comparative soft biometric body annotations, obtained from a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b891a2d127802c60eedeee783e2d328
https://doi.org/10.1049/iet-bmt.2015.0118
https://doi.org/10.1049/iet-bmt.2015.0118
Publikováno v:
Chemical Geology. 554:119784
40Ar/39Ar geochronology is a powerful technique for dating geological events and processes on timescales from hundreds to billions of years. Many 40Ar/39Ar datasets are collected from analysis of single mineral phases or phenocryst-free groundmass th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4758a423cf6553c862d67ebed4c8bdbf
https://doi.org/10.1016/j.chemgeo.2020.119784
https://doi.org/10.1016/j.chemgeo.2020.119784
Publikováno v:
ICPR
In order to improve recognition performance, fusion has become a key technique in the recent years. Compared with single-mode biometrics, the recognition rate of multi-modal biometric systems is improved and the final decision is more confident. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::218f63a48bb0de5ac44b724793095dd6
https://doi.org/10.1109/icpr.2018.8546071
https://doi.org/10.1109/icpr.2018.8546071
Publikováno v:
ISBA
There are many new soft biometrie approaches though few are used for identification, especially at a distance. We create a new soft biometric database containing the human face, body and clothing attributes at three different distances. One aim of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac1d7a6eba9128fea13aab5fe5ebbb8f
https://doi.org/10.1109/isba.2018.8311457
https://doi.org/10.1109/isba.2018.8311457
Publikováno v:
ICDP
In order to improve biometric system performance, information fusion becomes a key technique in multi-modal biometric systems. Multi-modal biometric fusion is conventionally divided into four levels: sensor level, feature level, score level and decis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ad6b5a173c8d3aaef234814a4946ee0
https://doi.org/10.1049/ic.2017.0048
https://doi.org/10.1049/ic.2017.0048