
pmid: 18701403
This correspondence presents a video tracking framework using control-based observer design. It unifies several kernel-based approaches into a consistent theoretical framework by modeling tracking as a recursive inverse problem. The framework relies on observability theory to handle the "singularity" problem and provides explicit criteria for kernel design and dynamics evaluation.
Motion, Artificial Intelligence, Image Interpretation, Computer-Assisted, Video Recording, Reproducibility of Results, Image Enhancement, Sensitivity and Specificity, Algorithms, Feedback, Pattern Recognition, Automated
Motion, Artificial Intelligence, Image Interpretation, Computer-Assisted, Video Recording, Reproducibility of Results, Image Enhancement, Sensitivity and Specificity, Algorithms, Feedback, Pattern Recognition, Automated
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