Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Robert T. Collins"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 564-573 (2023)
Quantitative evaluation of human stability using foot pressure/force measurement hardware and motion capture (mocap) technology is expensive, time consuming, and restricted to the laboratory. We propose a novel image-based method to estimate three ke
Externí odkaz:
https://doaj.org/article/2d08c6720ee34b3fb866a863764ac46f
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
Quantitative evaluation of human stability using foot pressure/force measurement hardware and motion capture (mocap) technology is expensive, time consuming, and restricted to the laboratory. We propose a novel image-based method to estimate three ke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c89019a69ac946c3f59089a6579612e2
https://pubmed.ncbi.nlm.nih.gov/36455077
https://pubmed.ncbi.nlm.nih.gov/36455077
Autor:
Robert T. Collins
Publikováno v:
Journal of the African Literature Association. 13:263-266
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94fcb8f6b30dba6cd12ade5ae7c76f16
https://doi.org/10.1080/21674736.2019.1594847
https://doi.org/10.1080/21674736.2019.1594847
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585914
ECCV (23)
ECCV (23)
We propose and validate two end-to-end deep learning architectures to learn foot pressure distribution maps (dynamics) from 2D or 3D human pose (kinematics). The networks are trained using 1.36 million synchronized pose+pressure data pairs from 10 su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ced1c32580cb907ec5517cf5563f1771
https://doi.org/10.1007/978-3-030-58592-1_32
https://doi.org/10.1007/978-3-030-58592-1_32
Publikováno v:
CVPR (2)
In this work, we address the detection of vehicles in a video stream obtained from a moving airborne platform. We propose a Bayesian framework for estimating dense optical flow over time that explicitly estimates a persistent model of background appe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bf6fe386d5fb2a5ae64916c212f5d3e
Publikováno v:
ICCV Workshops
We develop a computational tool that aligns motion capture (mocap) data to videos of 24-form simplified Taiji (TaiChi) Quan, a scripted motion sequence about 5 minutes long. With only prior knowledge that the subjects in video and mocap perform a sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f8eaaa86ae4bf3038e30d365ea684c3
https://doi.org/10.1109/iccvw.2017.99
https://doi.org/10.1109/iccvw.2017.99
Publikováno v:
Pattern Recognition. 47:2880-2893
Millions of smart phones and GPS-equipped digital cameras sold each year, as well as photo-sharing websites such as Picasa and Panoramio have enabled personal photos to be associated with geographic information. It has been shown by recent research r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b192c79b413c8cd385d6b8b32a2cc42
https://doi.org/10.1016/j.patcog.2014.03.002
https://doi.org/10.1016/j.patcog.2014.03.002
Publikováno v:
CVPR
We present an approach for detecting and matching building facades between aerial view and street-view images. We exploit the regularity of urban scene facades as captured by their lattice structures and deduced from median-tiles' shape context, colo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::184d5d21c6b41313e9b87a8cecf99789
https://doi.org/10.1109/cvpr.2016.176
https://doi.org/10.1109/cvpr.2016.176
Autor:
Peter W. Carr, Robert T. Collins
Publikováno v:
WACV
Existing measures for evaluating the performance of tracking algorithms are difficult to interpret, which makes it hard to identify the best approach for a particular situation. As we show, a dummy algorithm which does not actually track scores well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::780bd0378f836f835a59eb31368ced3a
https://doi.org/10.1109/wacv.2016.7477617
https://doi.org/10.1109/wacv.2016.7477617
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 34:1003-1016
Building upon state-of-the-art algorithms for pedestrian detection and multi-object tracking, and inspired by sociological models of human collective behavior, we automatically detect small groups of individuals who are traveling together. These grou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb610a3db29f2846c0f444c9d1b51e67
https://doi.org/10.1109/tpami.2011.176
https://doi.org/10.1109/tpami.2011.176