Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Improving object detection with boosted histograms
Image and Vision Computing
Influences on proxemic behaviors in human-robot interaction
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
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In this paper, we present a human detection system for a domestic robot. A 2D laser scanner based leg detector and a vision based body detector are combined using a grid fusion strategy. This approach has been evaluated on a domestic robot. Furthermore, we propose a methodology to evaluate it in relation to proxemics that could be generalized to other robot's perceptive functions.