1

The paper presents a probabilistic approach using spatio-temporal and social features to recognize human-human interaction activities, learns priors based on proxemics theory to improve classification, and provides a new public RGB-D dataset of social activities including risk situations, with results showing the proposed method merging different features and proximity priors improves precision, recall and accuracy over alternative approaches

The life span of ordinary people is increasing steadily and many developed countries are facing the big challenge of dealing with an …