• Corpus ID: 17388300

Kalman filter in computer vision

@inproceedings{Klmn2011KalmanFI,
  title={Kalman filter in computer vision},
  author={Rudolf E. K{\'a}lm{\'a}n and Thorvald Nicolai Thiele and Richard S. Bucy},
  year={2011}
}
In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kalman. Its purpose is to use measurements that are observed over time that contain noise (random variations) and other inaccuracies, and produce values that tend to be closer to the true values of the measurements and their associated calculated values. The Kalman filter has many applications in technology, and is an essential part of the development of space and military technology. Perhaps the most commonly used… 
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Kalman Filtering and Its Real‐Time Applications
TLDR
This chapter outlined and explained the fundamental Kalman filtering model in real‐time discrete form and devised two real-time applications that implement‐ ed Kalman filter.

References

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Kalman Filtering with Real-Time Applications presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection.
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This paper points out the flaws in using the extended Kalman filter (EKE) and introduces an improvement, the unscented Kalman filter (UKF), proposed by Julier and Uhlman (1997). A central and vital…
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TLDR
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