A Mathematical Introduction to Robotic Manipulation
A Mathematical Introduction to Robotic Manipulation
View-invariant Alignment and Matching of Video Sequences
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Hypercube sweeping algorithm for subsequence motion matching in large motion databases
Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications
Information Retrieval for Music and Motion
Information Retrieval for Music and Motion
International Journal of Computer Vision
View-Independent Action Recognition from Temporal Self-Similarities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time classification of dance gestures from skeleton animation
SCA '11 Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Real-time human pose recognition in parts from single depth images
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
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We present a cascaded real-time system that recognizes dance patterns from 3D motion capture data. In a first step, the body trajectory, relative to the motion capture sensor, is matched. In a second step, an angular representation of the skeleton is proposed to make the system invariant to anthropometric differences relative to the body trajectory. Coping with non-uniform speed variations and amplitude discrepancies between dance patterns is achieved via a sequence similarity measure based on Dynamic Time Warping (DTW). A similarity threshold for recognition is automatically determined. Using only one good motion exemplar (baseline) per dance pattern, the recognition system is able to find a matching candidate pattern in a continuous stream of data, without prior segmentation. Experiments show the proposed algorithm reaches a good trade-off between simplicity, speed and recognition rate. An average recognition rate of 86.8% is obtained in real-time.