Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Bangli Liu"'
Publikováno v:
IEEE Transactions on Industrial Informatics. 16:587-594
Images taken under different camera poses are rotated or distorted, which leads to poor perception experiences. This article proposes a new framework to automatically transform the images to the conformable view setting by assembling different convol
Autor:
Bangli Liu, Djamel Ait-Boudaoud
Publikováno v:
Liu, B & Ait-Boudaoud, D 2019, ' Effective image super resolution via hierarchical convolutional neural network ', Neurocomputing . https://doi.org/10.1016/j.neucom.2019.09.035
An extensive amount of research work has been carried out in image super-resolution using convolutional neural networks. The focus of a significant number of reported approaches is primarily on either increasing the depth or the width of the networks
Publikováno v:
Neurocomputing. 365:229-238
In order to intelligently classify magnetic flux leakage signals, this study proposes a method of magnetic flux leakage image classification based on sparse self-coding. With inputting with the magnetic flux leakage image of the pipe weld, it extract
Publikováno v:
Liu, B, Cai, H, Ju, Z & Liu, H 2019, ' RGB-D sensing based human action and interaction analysis : a survey ', Pattern Recognition, vol. 94, pp. 1-12 . https://doi.org/10.1016/j.patcog.2019.05.020
Human activity recognition has been actively studied in the last three decades. Compared to human action performed by a single person, human interaction is more complex due to the involvement of more subjects and the interdependence between them. Rec
Publikováno v:
Cai, H, Liu, B, Zhang, J, Chen, S Y & Liu, H 2015, ' Visual focus of attention estimation using eye center localization ', IEEE Systems Journal . https://doi.org/10.1109/JSYST.2015.2441952
Estimating people visual focus of attention (VFOA) plays a crucial role in various practical systems such as human–robot interaction. It is challenging to extract the cue of the VFOA of a person due to the difficulty of recognizing gaze directional
Publikováno v:
Pattern Recognition. 98:107053
Online activity recognition which aims to detect and recognize activity instantly from a continuous video stream is a key technology in human-robot interaction. However, the partial activity observation problem, mainly due to the incomplete sequence
Publikováno v:
Liu, B, Ju, Z & Liu, H 2018, ' A structured multi-feature representation for recognizing human action and interaction ', Neurocomputing . https://doi.org/10.1016/j.neucom.2018.08.066
Active research has been carried out for human action recognition using 3D human skeleton joints with the release of cost-efficient RGB-D sensors. However, extracting discriminative features from noisy skeleton sequences to effectively distinguish va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65ff98557c6cfe5b139ef5f23032a68c
https://researchportal.port.ac.uk/ws/files/11506077/neurocomputing_pure.pdf
https://researchportal.port.ac.uk/ws/files/11506077/neurocomputing_pure.pdf
Autor:
Haibin Cai, Bangli Liu, Zhaojie Ju, Serge Thill, Tony Belpaeme, Bram Vanderborght, Honghai Liu
Publikováno v:
Proceedings of the 29th British Machine Vision Conference
Scopus-Elsevier
Cai, H, Liu, B, Ju, Z, Thill, S, Belpaeme, T, Vanderborght, B & Liu, H 2018, Accurate eye center localization via hierarchical adaptive convolution . in Proceedings of the 29th British Machine Vision Conference : BMVC 2018 . British Machine Vision Association, 29th British Machine Vision Conference, Newcastle, United Kingdom, 3/09/18 .
University of Portsmouth
Proceedings British Machine Vision Conference 2018, pp. 1-12
Proceedings British Machine Vision Conference 2018, 1-12. [S.l.] : British Machine Vision Association (BMVA)
STARTPAGE=1;ENDPAGE=12;TITLE=Proceedings British Machine Vision Conference 2018
Scopus-Elsevier
Cai, H, Liu, B, Ju, Z, Thill, S, Belpaeme, T, Vanderborght, B & Liu, H 2018, Accurate eye center localization via hierarchical adaptive convolution . in Proceedings of the 29th British Machine Vision Conference : BMVC 2018 . British Machine Vision Association, 29th British Machine Vision Conference, Newcastle, United Kingdom, 3/09/18 .
University of Portsmouth
Proceedings British Machine Vision Conference 2018, pp. 1-12
Proceedings British Machine Vision Conference 2018, 1-12. [S.l.] : British Machine Vision Association (BMVA)
STARTPAGE=1;ENDPAGE=12;TITLE=Proceedings British Machine Vision Conference 2018
Item does not contain fulltext Eye center localization has been an active research topic for decades due to its important biological properties, which indicates human's visual focus of attention. However, accurate eye center localization still remain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::01a7937bb7b21fa820324fbc1045361e
https://hdl.handle.net/1854/LU-8669717
https://hdl.handle.net/1854/LU-8669717
Publikováno v:
ICIP
Liu, B, Cai, H, Ji, X & Liu, H 2018, Human-human interaction recognition based on spatial and motion trend feature . in 2017 IEEE International Conference on Image Processing (ICIP) . IEEE ICIP Proceedings Series, IEEE, pp. 4547-4551, 2017 IEEE International Conference on Image Processing, Beijing, China, 17/09/17 . https://doi.org/10.1109/ICIP.2017.8297143
Liu, B, Cai, H, Ji, X & Liu, H 2018, Human-human interaction recognition based on spatial and motion trend feature . in 2017 IEEE International Conference on Image Processing (ICIP) . IEEE ICIP Proceedings Series, IEEE, pp. 4547-4551, 2017 IEEE International Conference on Image Processing, Beijing, China, 17/09/17 . https://doi.org/10.1109/ICIP.2017.8297143
Human-human interaction recognition has attracted increasing attention in recent years due to its wide applications in computer vision fields. Currently there are few publicly available RGBD-based human-human interaction datasets collected. This pape
Publikováno v:
SMC
Liu, B, Yu, H, Zhou, X & Liu, H 2017, Combining 3D joints Moving Trend and Geometry property for human action recognition . in IEEE Systems, Man, and Cybernetics Magazine . IEEE, 2016 IEEE International Conference on Systems, Man, and Cybernetics, Budapest, Hungary, 9/10/16 . https://doi.org/10.1109/SMC.2016.7844262
Liu, B, Yu, H, Zhou, X & Liu, H 2017, Combining 3D joints Moving Trend and Geometry property for human action recognition . in IEEE Systems, Man, and Cybernetics Magazine . IEEE, 2016 IEEE International Conference on Systems, Man, and Cybernetics, Budapest, Hungary, 9/10/16 . https://doi.org/10.1109/SMC.2016.7844262
Depth image based human action recognition has attracted many attentions due to the popularity of the depth sensors. However, accurate recognition still remains a challenge because of various object appearances, poses and video sequences. In this pap