We have witnessed impressive advances in computer vision based recognition and analysis of non-verbal behavioural cues such as gestures, posture, actions, joint attention and facial expressions. However, these cues are rarely analysed holistically and contextually to achieve a deeper understanding of social human behaviour.

The importance of socializing and its impact on decisions, thoughts, and the general wellbeing of individuals are widely recognized. Lack of social interactions is strongly correlated with depression, poor outcomes in stroke survivors, and dementia, for example. There has been increased interest in recent years in developing computer vision-based assistive technologies to monitor the social interactions of people affected by several disorders, and to improve the social interactions of visually impaired people and autistic children by relying on feedback provided by visual data. Development of systems that capture the complexities of human life, anticipate our intentions and adapt to accommodate our needs motivates us to build machines that better interpret our interactions and are capable of interacting with us at a social level.

This opens a new frontier for Social Behaviour Understanding, where major questions are how to capture the diversity and complexity of social life from image data and which image analysis and pattern recognition technologies are effective in this domain. We are organizing a workshop that aims at gathering research progress around those problems that require, in addition to performing an effective visual analysis of basic behavioral cues, to integrate and interpret them jointly.

We encourage submissions in the area of computer vision for social interaction and behaviour understanding. Topics of interest include, but are not limited to:

• Social relation recognition
• Face to face and group interactions
• Social signal processing
• Egocentric vision for social interactions
• Multimodal approaches for social interaction and behaviour analysis
• Affective computing
• Facial and gestural social and emotional cues
• Context- dependent human-behaviour models
• Social data gathering and ethical concerns
• Social robotics
• Applications in health and wellbeing, rehabilitation technology, assistive communication
• Applications in social media data analysis, lifelogging, human activity monitoring

We invite full papers and position papers. All papers must be submitted through this link.

The paper format is the same as the BMVC main conference. The review will be double-blind.

The submissions must be in PDF format and the length should not exceed 9 pages excluding the references.

Papers that do not comply with the BMVC format will be rejected without review.

Girmaw Abebe, University of Oxford, UK

Lamberto Ballan, University of Padova, Italy

Antonino Furnari, University of Catania, Italy

Manuel J. Marin-Jimenez, University of Cordoba, Spain

Alessandro Ortis, University of Catania, Italy

Enver Sangineto, University of Trento, Italy

Lorenzo Seidenari, University of Florence, Italy

Viktoriia Sharmanska, Imperial College London, UK