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Showing 1 to 3 of 3 for “"Kalman tracking"”.
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Uncertain input estimation with application to Kalman tracking
Many motion tracking systems average and integrate tracking measurements over a period of time in order to reduce the effects of device noise, external noise and other disturbances. The target (user) is likely to be moving throughout the sample time, introducing additional 'noise' (uncertainty) …
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Time Blanking for GBT Data with RADAR RFI
… present a new Bayesian algorithm which combines Kalman tracking with pulse detection. This new algorithm will help to locate the weaker or missed detections, so as to help improve the performance of pulse blanking.
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Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis
… the cell morphology, various detection and tracking algorithms have been implemented and tested on a diverse dataset comprising cell-separation video sequences. Other related applications like cell-counting and cell-proximity detection have also been implemented. Performances were evaluated …