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.
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Abstract
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 |
| Division/Department: | Flight Mechanics and Control Division, Flight Mechanics and Control Division, Flight Mechanics and Control Division |
| Depositing User: | Mr. N A |
| Date Deposited: | 29 Oct 2007 |
| Last Modified: | 24 May 2010 09:39 |
| URI: | http://nal-ir.nal.res.in/id/eprint/983 |
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