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--></style></head><body lang=EN-US link=blue vlink="#954F72"><div class=WordSection1><p class=MsoNormal style='margin-bottom:12.0pt;background:white'><span style='font-family:"Arial",sans-serif;color:black'>Dear Colleagues,<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt;background:white'><span style='font-family:"Arial",sans-serif;color:black'>British machine Vision Association (BMVA) Symposium: Human Activity Recognition and Monitoring, BCS (British Computer Society) venue central London, November 8, 9am -5pm<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt;background:white'><span style='font-family:"Arial",sans-serif;color:black'>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 <a href="https://goo.gl/nXXy3f">https://goo.gl/</a><a href="https://goo.gl/nXXy3f">nXXy3f</a> <o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt;background:white'><span style='font-family:"Arial",sans-serif;color:black'>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.<o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>Keynote Speakers <o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt;background:white'><span style='font-family:"Arial",sans-serif;color:black'>Prof David Hogg (University of Leeds), Dr Alessandro Vinciarelli (University of Glasgow), Prof Ian Craddock (University of Bristol), & Prof Yiannis Demiris (Imperial College London) <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>Chairs: Ardhendu Behera (Edge Hill University), Nicola Bellotto (University of Lincoln) & Charith Abhayaratne (University of Sheffield)<o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>Call for Contributions <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>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. <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt;background:white'><span style='font-family:"Arial",sans-serif;color:black'>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. <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>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. <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>We welcome contributions to this workshop in the form of oral presentations, posters and demos. Suggested topics include, but are not limited to: <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• Multi-modal (visual, depth and inertia sensors) human activity modelling and recognition <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• Human motion analysis <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• Scene analysis and understanding <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• Real-time activity recognition and monitoring <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• Social signal processing <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• Emotion recognition <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• Single-user, multi-user and group activity recognition <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• Human pose recognition <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• People detection and tracking <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• Activity modelling and recognition through logic and reasoning <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• Long-term modelling and recognition <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• Data/pattern mining based approach to activity recognition <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• Context-aware activity monitoring <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>• Activity recognition for personalised services <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt;background:white'><span style='font-family:"Arial",sans-serif;color:black'>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. <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>Submissions Deadline <o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt;background:white'><span style='font-family:"Arial",sans-serif;color:black'>All those interested in presenting at this meeting are invited to submit a summary of their talk by 28th September 2017. To <a href="https://goo.gl/nXXy3f">https://goo.gl/</a><a href="https://goo.gl/nXXy3f">nXXy3f</a> <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>Registration: <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-family:"Arial",sans-serif;color:black'>Book online at <a href="http://www.bmva.org/meetings">www.bmva.org/meetings</a> <o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt;background:white'><span style='font-family:"Arial",sans-serif;color:black'>£16 for BMVA Members, £36 for Non Members, including lunch and subscription to the BMVA for non-members. <br><br><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt;background:white'><span style='font-family:"Arial",sans-serif;color:black'>Best regards,<br>Ardhendu<o:p></o:p></span></p><p class=MsoNormal>--------------------------<br>Dr Ardhendu Behera<br>Senior Lecturer and Impact Fellow<br>Department of Computer Science<br>Edge Hill University<br>Ormskirk, Lancashire, L39 4QP<br>W: <a href="https://www.edgehill.ac.uk/computerscience/">https://www.edgehill.ac..uk/computerscience/</a> <br><a href="https://computing.edgehill.ac..uk/~abehera/">https://computing.edgehill.ac.uk/~abehera/</a> <br>T: +44 (0) 1695 65 7270<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>