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- W3208235986 abstract "This article presents a key-scenario of H/R for our tour-guide robot. Given this scenario, three visual modalities, the robot deals with, have been outlined, namely the search of visitors attending the exhibition, the proximal interaction through the robot interface and the guidance mission. The paper focuses on the two last ones which involves face recognition and visual data fusion in a particle filtering framework. Evaluations on key-sequences in a human centred environment show the tracker robustness to background clutter, sporadic occlusions and group of persons. The tracker is able to cope with target loss by detecting and re-initializing automatically thanks to the face recognition outcome. Moreover, the multi-cues association proved to be more robust to clutter than any of the cues individually." @default.
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- W3208235986 date "2007-12-31" @default.
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- W3208235986 title "Data fusion and eigenface based tracking dedicated to a Tour-Guide Robot" @default.
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- W3208235986 doi "https://doi.org/10.2390/biecoll-icvs2007-74" @default.
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