Detecting Steading Conversational Groups on an Still Image: A Single Relational Fuzzy Approach

Abstract

The small group detection has become one of the most important step in crow scene analysis, which has several application in surveillance-video (i.e. for detecting, preventing and predicting dangerous situations). A Steading Conversational Group (a.k.a. F-Formation) is a kind of small group, where their stationary people interact through social signals (i.e. non-verbal expressions). The proposed state-of-the-art methods have reported encouraging results; however, they are based on complex theories. Moreover, these methods have had difficulties for rehearsing and high computational complexity. In this paper, we propose a new method for detecting F-Formation in an image. We introduce a new representation and clustering method, basing our solution on the fuzzy relation theory. The performance of our proposal is evaluated and compared against other reported methods over a synthetic and two real-world databases. The experimental results show the effectiveness of our proposal.