The KidsRoom: A Perceptually-Based Interactive and Immersive Story Environment
Presence: Teleoperators and Virtual Environments
Robust visual tracking for multiple targets
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
IEEE Transactions on Robotics
Human behavior understanding for robotics
HBU'12 Proceedings of the Third international conference on Human Behavior Understanding
A method of abnormal habits recognition in intelligent space
Engineering Applications of Artificial Intelligence
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Robust people detection and localization is a prerequisite for many applications where service robots interact with humans. Future robots will not be stand-alone any more but will operate in smart environments that are equipped with sensor systems for context awareness and activity recognition. This paper describes a probabilistic framework for the fusion of data from a laser range finder on a mobile robot and an overhead camera fixed in a domestic environment. The contribution of the framework is that it enables seamless integration with other sensors. For tracking multiple people it is possible to use a probabilistic particle filter tracker. We show that the fusion improves the results of the individual subsystems.