Applied-Information Technology in Adaptive Kalman Filter with Model Error and Noise Error

Juan Wang; Wei Wei Tao; Chun Ying Wu

doi:10.4028/www.scientific.net/AMR.1046.380

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1046Applied-Information Technology in Adaptive Kalman...

Applied-Information Technology in Adaptive Kalman Filter with Model Error and Noise Error

Abstract:

Kalman filter is successfully used to predict the object position under occlusion in this paper. Firstly, according to the target location in the previous frame, Kalman filter predicts target location in the current frame adaptively.Secondly, find the real target location in the neighborhood by mean shift algorithm. Finally, update the filter parameters. Because the adaptive Kalman filter predicts target location through system equation, it can improve the tracking effect in occlusion in a certain degree.

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Periodical:

Advanced Materials Research (Volume 1046)

Pages:

380-383

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1046.380

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Online since:

October 2014

Authors:

Juan Wang, Wei Wei Tao, Chun Ying Wu

Keywords:

Adaptive Kalman Filter, Mean Shift, Model Error, Noise Error, Object Tracking

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References

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