Ground Target Tracking Using Aerial Images

Abstract:

The tracking of ground targets using aerial images was studied. A improved Kalman filter was derived for the tracking of ground targets. The novel feature of this improved filter were that the grey prediction equations and the road information have been incorporated to improve the accuracy of state estimates.The GM(1,1) (Grey Model) was introduced into Kalman prediction equations.The next value was forecasted by using few forward estimated values with a grey differential equation,which was baesd on the correction of mesurement covariance matrix. The tracking of the targets shows a satisfactory result.

• Periodical: Advanced Materials Research (Volumes 734-737)
• Pages: 2964-2969
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.734-737.2964
• Online since: August 2013
• Authors: Xian Jun Hu, Hang Yu Wang, Zhang Song Shi
• Keywords: Aerial Image, GM(1,1), Kalman Filter (KF), Road Network, Target Tracking

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