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Publikation

Collaborative Multi-Camera Face Recognition and Tracking

Jason Raphael Rambach; Marco F. Huber; Mark R. Balthasar; Abdelhak M. Zoubir
In: IEEE. International Conference on Advanced Video and Signal based Surveillance (AVSS-2015), August 25-28, Karlsruhe, Germany, IEEE, 2015.

Zusammenfassung

In this paper, a framework for collaborative face recognition from video sequences in a multi-camera environment is proposed. Collaboration between cameras allows for higher recognition performance in both the common and non-common field-of-view (FOV) cases. For the latter, the appearance of an object in a nearby camera is predicted using the last tracked position of the object paired with a time-of-arrival model between camera pairs. An experiment using four cameras in an office environment confirms the applicability and performance gains of the proposed framework .