Title :
View-based interpretation of real-time optical flow for gesture recognition
Author :
Cutler, Ross ; Turk, Mattew
Author_Institution :
Maryland Univ., College Park, MD, USA
Abstract :
The authors have developed a real-time, view-based gesture recognition system. Optical flow is estimated and segmented into motion blobs. Gestures are recognized using a rule-based technique based on characteristics of the motion blobs such as relative motion and size. Parameters of the gesture (e.g., frequency) are then estimated using context specific techniques. The system has been applied to create an interactive environment for children
Keywords :
image recognition; image segmentation; image sequences; knowledge based systems; real-time systems; children; context specific techniques; interactive environment; motion blobs; optical flow estimation; optical flow segmentation; real-time view-based gesture recognition system; relative motion; relative size; rule-based technique; view-based real-time optical flow interpretation; Arm; Cameras; Educational institutions; Frequency estimation; Hidden Markov models; Image motion analysis; Motion estimation; Music; Real time systems; Virtual reality;
Conference_Titel :
Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on
Conference_Location :
Nara
Print_ISBN :
0-8186-8344-9
DOI :
10.1109/AFGR.1998.670984
