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20 June 2014 Real-time target tracking for a 360-degree panoramic IR imager
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Abstract
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. C. Olson, J. R. Waterman, and 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
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