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20 June 2014Real-time target tracking for a 360-degree panoramic IR imager
We introduce a detection and tracking algorithm for panoramic imaging systems intended
for operations in high-clutter environments. The algorithm combines correlation- and model-based
tracking in a manner that is robust to occluding objects but without the need for a separate
collision prediction module. Large data rates associated with the panoramic imager necessitate
the use of parallel computation on graphics processing units. We discuss the queuing and
tracking algorithms as well as practical considerations required for real-time implementation.
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C. C. Olson, J. R. Waterman, J. M. Nichols, "Real-time target tracking for a 360-degree panoramic IR imager," Proc. SPIE 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, 909108 (20 June 2014); https://doi.org/10.1117/12.2054219