Vision-Based Gesture Recognition: A Review
GW '99 Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction
Motion segmentation and pose recognition with motion history gradients
Machine Vision and Applications - Special issue: IEEE WACV
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Temporal classification: extending the classification paradigm to multivariate time series
Temporal classification: extending the classification paradigm to multivariate time series
Tracking of deformable human hand in real time as continuous input for gesture-based interaction
Proceedings of the 12th international conference on Intelligent user interfaces
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Interactive mobile robots are an active area of research. This paper presents a framework for designing a real-time vision based hand-body gesture user interface for such robots. The said framework works in real world lighting conditions, with complex background, and can handle intermittent motion of the camera. The input signal is captured by using a singular monocular color camera. Vision is the only feedback sensor being used. It is assumed that the gesturer is wearing clothes that are slightly different from the background. We have tested this framework on a gesture database consisting of 11 hand-body gestures and have recorded recognition accuracy up to 90%.