Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating Human Body Configurations Using Shape Context Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Segmentation, Tracking and Interpretation Using Panoramic Video
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Recovering 3D Human Pose from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Continuous tracking within and across camera streams
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
A control architecture for long-term autonomy of robotic assistants
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
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Advances in robotics research bring robots closer to real world applications. Although robots have become increasingly capable, productive interaction is still restricted to specialists in the field. In this paper, we propose an interactive architecture, based on visual capabilities, which allows robots to interact with people in a natural way, to deal with multiple users, and to be constantly aware of their surroundings. First, we endow our robot with visual capabilities, which allow it to detect when people are requesting to engage it in interaction. Second, we provide the robot with flexibility in dealing with multiple users, such as to accommodate multiple user-requests and task interruptions, over extended periods. The visual capabilities we propose allow the robot to identify multiple users, with multiple postures, in real-time and in dynamic environments, where both the robot and human users are moving. We demonstrate our approach on a Pioneer 3DX mobile robot, performing service tasks in a real-world environment.