Master Thesis PREDICTION BASED ON PAIRWISE LIKELIHOOD
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Human Motion Prediction Using Kernel Density Estimators Acknowledgements First of All I Would like to Thank My Tutors
Markerless human motion tracking could be achieved through two distinct, but complementary, sets of techniques: those based on the analysis of the image, and those based on prior knowledge. Among the latter, direct prediction of human motion on a global perspective has promising potential, yet it is also a challenging Machine Learning problem, due to the high-dimensionality of the data. This ma...
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Man Machine Interfaces (MMIs) are getting more and more beneficial and applicable to many different fields to support men in both scientific and everyday life. Their usage is however still limited and they need to be further developed and improved to become really efficient. A potentially efficacious approach is movement prediction. It could improve different MMIs systems by providing an interf...
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تاریخ انتشار 2010