[robotics-worldwide] [meetings] BMVA Symposium: Human Activity Recognition and Monitoring

Nicola Bellotto nbellotto at lincoln.ac.uk
Tue Oct 17 17:10:19 PDT 2017

BMVA Symposium: Human Activity Recognition and Monitoring

One day meeting in central London, at the BCS venue 8th Nov 2017 9am -5pm

Chairs: Ardhendu Behera (Edge Hill University), Nicola Bellotto (University of Lincoln) & Charith Abhayaratne (University of Sheffield)

This BMVA one-day meeting will present state-of-the-art developments in Human Sensing and is motivated by the attention of several computer science communities due to its connection to different fields of study. Therefore, human activity analysis and recognition has become a research area of great interest, as its strength in providing potential applications such as intelligent environments (smart home, smart vehicle, smart care home, smart factory, etc.), security and surveillance, human-robot collaborative tasks, human-machine interactions, assistive technologies, biomechanical study of athletes, physical activity and sedentary behaviour, virtual and augmented reality, physical therapy and rehabilitation and many more.

Keynote Speakers
Prof David Hogg (University of Leeds), Dr Alessandro Vinciarelli (University of Glasgow), Prof Ian Craddock (University of Bristol), & Prof Yiannis Demiris (Imperial College London)

£16 for BMVA Members, £36 for Non Members, including lunch and subscription to the BMVA for non-members.

8.30 - 9:00 - Registration
9.00 - 9.10 - Opening

9:10 - 10.00 - Keynote speech: Yiannis Demiris, Imperial College London
Human activity modelling for personalised robot assistance

10:00 - 10:20 - James Charles, University of Cambridge
Personalizing Human Video Pose Estimation
10:20 - 10:40 - Ian Tu, University of Warwick
Deep Passenger Monitoring using Viewpoint Warping
10:40 - 10:55 - Poster spotlights
10:55 - 11:25 Coffee break (Posters)

11:25 - 12:15 - Keynote speech: Ian Craddock, University of Bristol

12:15 - 12:35 - Babak Hosseini, CITEC, Bielefeld University
Non-negative Kernel Sparse Coding frameworks for Efficient Analysis of Motion Data
12:35 - 12:55 - Girmaw Abebe, Queen Mary University of London and UPC-BarcelonaTech
Inertial-Vision: cross-domain knowledge transfer for human activity recognition using wearable sensors
12:55 - 13:40 Lunch break (Posters)

13:40 - 14:30 - Keynote speech: David Hogg, University of Leeds
Learning about human behaviour for interactive robotics

14:30 - 14:50 - Yangdi Xu, University of Bristol
Unsupervised Long-Term Routine Modelling using Dynamic Bayesian Networks
14:50 - 15:10 - Sophia Bano, University of Dundee
Focused Interaction Detection and Classification in Egocentric Video
15:10 - 15:30 Coffee break (Posters)

15:30 - 16:20 - Keynote speech: Alessandro Vinciarelli, University of Glasgow
Body Language Without Body: Social Signals in Technology Mediated Communication

16:20 - 16:40 - Claudio Coppola, University of Lincoln
Social Activity Recognition on RGB-D Video Sequences
16:40 - 17.00 - Georgios Mastorakis, Kingston University London
Fall detection using myoskeletal model simulation

Gertjan Burghouts, TNO Intelligent Imaging, Netherlands
Aggression detection in footage from surveillance cameras with real incidents
Rob Wright, Kingston University
Exploring depth information to infer visual focus of attention (VFOA) in a collaborative setting
Lining Zhang, University of Portsmouth
Multiview Practical Human Activity Recognition for Assisted Living
Hui Fang, Edge Hill University
Fast and Reliable Human Action Recognition in Video Sequences by Sequential Analysis
Fawzi Khattar, University of Pau and Adour Countries
Visual localization and control system for low cost quadrocopters

Dr Nicola Bellotto
School of Computer Science
University of Lincoln
Brayford Pool
Lincoln, LN6 7TS
United Kingdom
Tel: +44 (0)1522 886080

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