Audio-visual multi-person tracking and identification for smart environments

  title={Audio-visual multi-person tracking and identification for smart environments},
  author={Keni Bernardin and Rainer Stiefelhagen},
  booktitle={ACM Multimedia},
This paper presents a novel system for the automatic and unobtrusive tracking and identification of multiple persons in an indoor environment. Information from several fixed cameras is fused in a particle filter framework to simultaneously track multiple occupants. A set of steerable fuzzy-controlled pan-tilt-zoom cameras serves to smoothly track persons of interest and opportunistically capture facial close-ups for face identification. In parallel, speech segmentation, sound source… CONTINUE READING
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