Target Tracking and Fusion Using Imaging Sensor and Ground Based Radar Data 2005-5842

Naidu, P and Girija, G and Raol, JR (2005) Target Tracking and Fusion Using Imaging Sensor and Ground Based Radar Data 2005-5842. In: AIAA Guidance, Navigation, and Control Conference and Exhibit, 15-18 August 2005, San Francisco, California.

[img] PDF
Restricted to Registered users only

Download (385kB)


An image centroid tracking algorithm (ICTA) has been implemented in PC MATLAB13; for target tracking based on the data obtained from an imaging sensor. The gray level image13; is converted into binary image using the segmentation technique and reduced into clusters13; using nearest neighbor criterion. Nearest neighborhood Kalman filter and Probabilistic data13; association filter are employed for state estimation using centroid measurement of clusters.13; The simulated results showed that it is possible to achieve tracking accuracies of 0.52 pixels13; root mean square error in position and 0.2 pixels/frame in velocity. Performance of this13; algorithm is evaluated using several statistical criteria. ICTA has been extended to multisensor13; scenario, where the trajectories obtained from the imaging sensor are fused with13; those from a ground based radar using track-to-track fusion technique.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: ICTA;PC MATLAB;Kalman filter;Probabilistic data filter
Subjects: AERONAUTICS > Aeronautics (General)
AERONAUTICS > Aerodynamics
Depositing User: Users 20 not found.
Date Deposited: 29 Oct 2007
Last Modified: 24 May 2010 04:09

Actions (login required)

View Item View Item