3d gesture recognition applying long short-term memory and contextual knowledge in a CAVE
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
Body posture estimation in sign language videos
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
A virtual touchscreen with depth recognition
AUIC '12 Proceedings of the Thirteenth Australasian User Interface Conference - Volume 126
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Tracking is an important section in a gesture recognition system. Numerous techniques for segmentation, tracking, modeling and recognition have been proposed during several past years. A few papers comparing different approaches have been published [31,32]. However, a comprehensive survey on tracking is still missing. We try to fill this vacuum by reviewing most widely used methods and techniques and collecting their numerical evaluation results.