Meanshift Tracking with Kalman Filter and Rotation-Invariant Features

Rui Tao Lu; Xin Sheng Huang; Wan Ying Xu; Lu Rong  Shen

doi:10.4028/www.scientific.net/AMM.380-384.1824

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Meanshift Tracking with Kalman Filter and...

Meanshift Tracking with Kalman Filter and Rotation-Invariant Features

Abstract:

This paper presents an improve Meanshift tracking algorithm based on Kalman filter and Rotation-Invariant Features. Firstly, this paper forecasts the original alternate position using Kalman filter. Secondly, a kind of spatial histogram based on GRA (Gradient Radius Angle, GRA) is introduced, which is a rotation-invariant descriptor combined the information of gradient. At last, this paper searches the scale factor by the normal scale space decomposition technique. Experiments show that the method concerned in this paper has better performances than two improved algorithms.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

1824-1828

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.1824

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Online since:

August 2013

Authors:

Rui Tao Lu, Xin Sheng Huang, Wan Ying Xu, Lu Rong Shen

Keywords:

Kalman Filter (KF), Meanshift Tracking, Rotation-Invarient Feature, Spatial Histogram

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References

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