Algorithm for Small Target Tracking in Sports Video Based on IMM

Author

Hui, Xiao ; Ning, Xu Ha

Author_Institution

Sch. of Nucl. Eng. & Technol., East China Inst. of Technol., Fuzhou, China

fYear

2012

Firstpage

1728

Lastpage

1731

Abstract

For tracking and measuring maneuvering target in sports video frequency, Kalman Filter(KF) and Extended Kalman Filter (EKF) has been widely used, but the tracking effect is inaccuracy. A model combined with Interaction Multiple Model (IMM) algorithm and Debiased consistent Converted Measurements Kalman Filter (CMKF-D) algorithm is proposed for tracking and measuring the target in sports video frequency. It avoids the error caused by transferring non-linear model to linear model through EKF and KF. The football video frequency simulation shows this algorithm can promote the tracking performance of maneuvering target in sports video frequency.

Keywords

Kalman filters; nonlinear filters; object tracking; sport; video signal processing; CMKF-D algorithm; EKF; IMM algorithm; debiased consistent converted measurements Kalman Filter algorithm; extended Kalman filter; football video frequency simulation; interaction multiple model algorithm; maneuvering target measurement; sports video frequency; target tracking; Acceleration; Equations; Frequency measurement; Kalman filters; Mathematical model; Target tracking; CMKF-D; IMM; maneuvering target tracking; video frequency;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4673-1450-3

Type

conf

DOI

10.1109/ICICEE.2012.457

Filename

6322747