Study on Semantic Representations of French Sign Language Sentences
GW '01 Revised Papers from the International Gesture Workshop on Gesture and Sign Languages in Human-Computer Interaction
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Ball Tracking and Virtual Replays for Innovative Tennis Broadcasts
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Robust Tracking for Processing of Videos of Communication's Gestures
Gesture-Based Human-Computer Interaction and Simulation
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Gesture and motion analysis is a highly needed process in the athletics field. This is especially true for sports dealing with acrobatics, because acrobatics mix complex spatial rotations over multiple axes and may be combined with various postures. This paper presents a new vision-based system focused on the analysis of acrobatic gestures of several sports. Instead of classical systems requiring modelizing human bodies, our system is based on the modelling and characterization of acrobatic movements. To show the robustness of the system, it was successively tested first on movements from trampoline, and also in other sports (gymnastics, diving, etc.). Within the system, the gestures analysis is mainly carried out by using global measurements, extracted from recorded movies or live video.