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In this paper we introduce a method to combine bottom-up saliency, texture descriptors and top-down attention to direct the focus on arbitrary objects in a human-robot interaction scenario. In a usual bottom-up attention process interesting features are extracted out of the image to focus on salient regions. We expand this approach with a top-down process, which determines in one single image the...
Traditional visitor guidance often suffers from the representational gap between 2D map representations and the real-world. Therefore, we propose a robotic information system that exploits its physical embodiment to present a readily interpretable interface for visitor guidance. Similar to human receptionists, it offers a familiar point of reference that can be approached by visitors and supports...
This paper focuses on two aspects of a human robot interaction scenario: Detection and tracking of moving objects, e.g., persons is necessary for localizing possible interaction partners and reconstruction of the surroundings can be used for navigation purposes and room categorization. Although these processes can be addressed independent from each other, we show that using the available data in exchange...
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