Space speaks: towards socially and personality aware visual surveillance

  • Authors:
  • Gloria Zen;Bruno Lepri;Elisa Ricci;Oswald Lanz

  • Affiliations:
  • Fondazione Bruno Kessler FBK-irst, Trento, Italy;Fondazione Bruno Kessler FBK-irst, Trento, Italy;Fondazione Bruno Kessler FBK-irst, Trento, Italy;Fondazione Bruno Kessler FBK-irst, Trento, Italy

  • Venue:
  • Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
  • Year:
  • 2010

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Abstract

There is a complex unwritten code which regulates human interactions. In this paper we present a camera based monitoring system that explores the relationship between proxemics, visual attention and personality traits during interaction. People's relative positions an head poses are extracted with a multi-target tracking algorithm and used to (i) estimate, under the 'thin slices' hypothesis, the level of extroversion and neuroticism of a person, to (ii) learn a model of people interactive behavior that improves, once integrated in the algorithm, the accuracy of the tracking estimates, and to (iii) steer a set of active cameras to the subject found to exhibit the most peculiar interaction pattern. We report on experimental results in a natural scenario where people engage in a party