Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject Computer vision
Showing results 1 to 10 of 10
Issue Date | Title | Author(s) |
2014 | Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking | Zhou, H; Fei, M; Sadka, A; Zhang, Y; Li, X |
2012 | Contextual cropping and scaling of TV productions | Itagaki, T; Just, N; Stoll, G |
2017 | Deep learning based facial expression recognition and its applications | Jan, Asim |
2020 | Depth Estimation from a Single Holoscopic 3D Image and Image Up-sampling with Deep-learning | Akuha Solomon Aondoakaa, Akuha Solomon Aondoakaa |
2013 | Foreground detection of video through the integration of novel multiple detection algorithims | Nawaz, Muhammad |
2020 | The Impact of Employing Olfactory Media in a Digital Context - a User Performance and Quality of Experience perspective | Alkasasbeh, Anas Ali |
2011 | Intelligent image cropping and scaling | Deigmoeller, Joerg |
2008 | Real-time human action recognition on an embedded, reconfigurable video processing architecture | Meng, H; Freeman, M; Pears, N; Bailey, C |
2007 | A smart vision sensor for detecting risk factors of a toddler's fall in a home environment | Na, H; Qin, SF; Wright, D |
2007 | Vision-based toddler tracking at home | Na, H; Qin, SF; Wright, D |