Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
An experiment in linguistic synthesis with a fuzzy logic controller
International Journal of Human-Computer Studies - Special issue: 1969-1999, the 30th anniversary
Skeletal Parameter Estimation from Optical Motion Capture Data
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Implementing expressive gesture synthesis for embodied conversational agents
GW'05 Proceedings of the 6th international conference on Gesture in Human-Computer Interaction and Simulation
A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living
Expert Systems with Applications: An International Journal
Performance capture of interacting characters with handheld kinects
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
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Human motion estimation is a topic receiving high attention during the last decades. There is a vast range of applications that employ human motion tracking, while the industry is continuously offering novel motion tracking systems, which are opening new paths compared to traditionally used passive cameras. Motion tracking algorithms, in their general form, estimate the skeletal structure of the human body and consider it as a set of joints and limbs. However, human motion tracking systems usually work on a single sensor basis, hypothesizing on occluded parts. We hereby present a methodology for fusing information from multiple sensors (Microsoft's Kinect sensors were utilized in this work) based on a series of factors that can alleviate from the problem of occlusion or noisy estimates of 3D joints' positions.