Implementation of Image Registration Algorithms for Real-time Target Tracking Through Video Sequences
Keywords: Umnanned aerial vehicle, image registration, misregishation, real-time target backing, target occlusion, cubic-spline model, Kalman filter
Abstract"Automatic detection and tracking of interesting targets from a sequence of images obtained from a reconnaissance platform is an interesting area of research for defence-related applications. Image registration is the basic step used in target tracking application. The paper briefly reviews some of the image registration algorithms, analyse their performance using a suitable image processing hardware, and selects the most suitable algorithm for a real-time target tracking application using cubic-spline model and spline model Kalman filter for the prediction of an occluded target. The algorithms developed are implemented in a ground-based image exploitation system (GIES) developed at the Aeronautical Development Establishment for unmanned aerial vehicle application, and the results presented for the images obtained during actual flight trial.
How to Cite
Majumdar, J., & Dilip, Y. (2002). Implementation of Image Registration Algorithms for Real-time Target Tracking Through Video Sequences. Defence Science Journal, 52(3), 227-242. https://doi.org/10.14429/dsj.52.2178
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