Abstract
A novel TBD algorithm for tracking dim moving point target in IR image sequence with low SNR was demonstrated. Original images are preprocessed using temperature non-linear elimination and Top-hat operator, and then a composite frame is obtained by projecting operation along the time axis to reduce 3D spatio-temporal scanning for target to 2D spatial hunting. Finally the target trajectory is tracked under the condition of constant false-alarm probability (CFAR). From the experimental results, the algorithm can successfully detect dim moving point target and accurately estimate its trajectory. The algorithm, insensitive to the velocity mismatch and the changes of statistical distribution of background clutter, is adaptable to real-time target detection and tracking.
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