Computational Models for Social Interactions and Behavior (CMSI): Scientific Grounding, Sensing and

Humans form a multitude of social groups through their life and regularly interact with other humans in these groups engaging in social behavior. Social behavior consists of actions that are socially relevant or are situated within an identifiable social context. Interacting or observant humans sense, interpret and understand these behaviors primarily using aural and visual sensory stimuli. While there has been a lot of research on detection, classification and recognition of humans, progressing onto actions, activities and events, most of these works lack grounding in socially relevant contexts. Moreover, this research is largely driven by applications in security & surveillance or in search & retrieval. The time is ripe to ground these technologies in richer social contexts and milieus. This workshop is positioned to show case this rich domain of applications, which will provide the necessary next boost for these technologies. At the same time, it seeks to ground computational models of social behavior in the socio-psychological and neuro-scientific theories of human action and behavior. This will allow us to leverage decades of research in these theoretically and empirically rich fields and to spur interdisciplinary research thereby opening up new problem domains for the vision community. For more details about the program please check the program page.