Title :
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
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;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.457
