Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
An HMM-Based Threshold Model Approach for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human Motion Analysis: A Review
NAM '97 Proceedings of the 1997 IEEE Workshop on Motion of Non-Rigid and Articulated Objects (NAM '97)
Synthesis and acquisition of laban movement analysis qualitative parameters for communicative gestures
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Hand gesture recognition based on dynamic Bayesian network framework
Pattern Recognition
Hi-index | 0.00 |
Gesture segmentation is an extremely difficult task due to both the multitude of possible gesture variations in spatio-temporal space and the co-articulation of successive gestures. In this paper, a robust framework for this problem is proposed which has been used to segment out component gestures from a continuous stream of gestures using finite state machine and motion features in a vision based platform.