Vision, instruction, and action
Vision, instruction, and action
Visual Interaction With Lifelike Characters
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
W4: Who? When? Where? What? A Real Time System for Detecting and Tracking People
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
3D human body model acquisition from multiple views
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Recognizing and interpreting gestures on a mobile robot
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
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A computer vision algorithm for identifying human body features algorithm, called the nine-grid algorithm, is introduced in this paper. The algorithm identifies body features via a two level hierarchy. The lower level makes a series of measurements on the image from line-scan input. The upper level uses a set of heuristics to assign the measurements to body features. A ground truth study is presented, showing the performance of the algorithm for four classes of activity that we consider typical of in-home user interface applications of computer vision. The study showed that the algorithm correctly identified features to a close degree 77% of the time. Closer investigation of the results suggested refinements for the algorithm that would improve this score.