[visionlist] Abstract deadline soon (28th September): BMVA Symposium: Human Activity Recognition and Monitoring

[Ardhendu Behera]

Dear Colleagues,
British machine Vision Association (BMVA) Symposium: Human Activity Recognition and Monitoring, BCS (British Computer Society) venue central London, November 8, 9am -5pm
The abstract submission deadline for this one-day symposium is approaching soon. All those interested in presenting at this meeting are invited to submit a summary of their talk (max 400 words) by 28th September 2017. To  https://goo.gl/nXXy3f 
The summary could be, recently published, in progress, or novel. You may also include links or pointers to web-based materials, demonstrations or papers giving more details.
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) 
Chairs: Ardhendu Behera (Edge Hill University), Nicola Bellotto (University of Lincoln) & Charith Abhayaratne (University of Sheffield)

Call for Contributions 
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.  

Recent advances in visual, depth and inertia sensors, algorithms for data/signal acquisition and processing have led to advances in detection, tracking, analysis of human activities, as well as fundamental understanding of long-term modelling and recognition of human behaviour in complex scenarios. Human activity/behaviour includes varied modalities and numerous scales including single person, small group and larger group. 
This one-day meeting will be dedicated to bring together leading researchers, at various levels in their career, with expertise or strong interest in technical advances in activity analysis and recognition. The meeting also aims to bring together a collection of latest approaches in this domain. We hope the meeting will stimulate future research, both theoretical and practical perspectives to stimulate further advances in the field. 

We welcome contributions to this workshop in the form of oral presentations, posters and demos. Suggested topics include, but are not limited to: 
• Multi-modal (visual, depth and inertia sensors) human activity modelling and recognition 
• Human motion analysis 
• Scene analysis and understanding 
• Real-time activity recognition and monitoring 
• Social signal processing 
• Emotion recognition 
• Single-user, multi-user and group activity recognition 
• Human pose recognition 
• People detection and tracking 
• Activity modelling and recognition through logic and reasoning 
• Long-term modelling and recognition 
• Data/pattern mining based approach to activity recognition 
• Context-aware activity monitoring 
• Activity recognition for personalised services 

The above list is not limited. Therefore, you are welcome to submit an abstract on human activity recognition and monitoring related research. The piece of research work could be, recently published, in progress, or novel. You may also include links or pointers to web-based materials, demonstrations or papers giving more details. We encourage submissions from student, academic and industry, including interdisciplinary work and work from those outside of the mainstream computer vision community. 
Submissions Deadline 
All those interested in presenting at this meeting are invited to submit a summary of their talk by 28th September 2017. To  https://goo.gl/nXXy3f 
Registration: 
Book online at www.bmva.org/meetings 
£16 for BMVA Members, £36 for Non Members, including lunch and subscription to the BMVA for non-members. 

Best regards,
Ardhendu
--------------------------
Dr Ardhendu Behera
Senior Lecturer and Impact Fellow
Department of Computer Science
Edge Hill University
Ormskirk, Lancashire, L39 4QP
W: https://www.edgehill.ac.uk/computerscience/  
https://computing.edgehill.ac.uk/~abehera/  
T: +44 (0) 1695 65 7270

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