Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Andrew W. B. Smith"'
Autor:
Andrew W. B. Smith
This thesis advances methods for performing markerless visual tracking of articulated bodies using one or two cameras. The research presented aims to improve upon existing Bayesian inspired tracking methods, by examining the ‘building blocks’ of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2696ab17c75af70b066749bc454fd27
https://doi.org/10.14264/uql.2016.369
https://doi.org/10.14264/uql.2016.369
Publikováno v:
Pattern Recognition. 43:1207-1223
An efficient and novel technique is developed for detecting and localizing corners of planar curves. This paper discusses the gradient feature distribution of planar curves and constructs gradient correlation matrices (GCMs) over the region of suppor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46565e52a38d39bd830ce6ae7fa10ce3
https://doi.org/10.1016/j.patcog.2009.10.017
https://doi.org/10.1016/j.patcog.2009.10.017
Autor:
Paul C. Mills, Wayne J. Wilson, Andrew P. Bradley, Matthew A. Petoe, Ahmad Aidil Arafat Dzulkarnain, Andrew W. B. Smith
Publikováno v:
Veterinary journal (London, England : 1997). 187(1)
The aim of this study was to determine if high stimulus repetition rates could reduce the time taken to obtain brainstem auditory evoked response (BAER) waveforms of equivalent quality in dogs. Click-evoked BAER waveforms were obtained from nine heal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c65f3d30dd13578661df6e22384da65d
https://pubmed.ncbi.nlm.nih.gov/19900825
https://pubmed.ncbi.nlm.nih.gov/19900825
Autor:
Andrew W. B. Smith, Brian C. Lovell
Publikováno v:
DICTA
The success of visual tracking systems is highly dependent upon the effectiveness of the measurement function used to evaluate the likelihood of a hypothesized object state. Generative tracking algorithms attempt to find the global and other local ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1ee3a1fdb0659f688015711737a1944
https://doi.org/10.1109/dicta.2009.74
https://doi.org/10.1109/dicta.2009.74
Autor:
Brian C. Lovell, Andrew W. B. Smith
Publikováno v:
ICPR (1)
Extracting human postural information from video sequences has proved a difficult research question. The most successful approaches to date have been based on particle filtering, whereby the underlying probability distribution is approximated by a se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7928cc811aa64fcd6fa0b101d757b2c9
https://doi.org/10.1109/icpr.2006.785
https://doi.org/10.1109/icpr.2006.785