5 May 2014 Target tracking using log-polar transform-based shifted phase-encoded joint transform correlation
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Automatic target detection and tracking requires efficient recognition of the target pattern in variable environmental conditions. Optical joint transform correlation (JTC) method has been proven to be efficient in recognizing a target without requiring complex optical set up. However, the classical JTC suffers from poor correlation performance, which can be improved through the use of different and modified designs. A very successful scheme is developed by employing phase-shifted and phase-encoded fringe-adjusted JTC (SPFJTC), which provides with a high discrimination between a target and non-target objects in a given scene and better utilization of the space-bandwidth resource. Further enhancement of the target detection performance can be achieved by incorporating log-polar transform in the SPFJTC technique. We applied the SPFJTC technique to the log-polar transformation of both the reference image and the input scene that makes the pattern recognition invariant to rotation and scale variations. Peak-to-side lobe ratio is measured and a threshold operation is employed to detect and track a target in an unknown input scene.
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Mohammed Nazrul Islam, Mohammed Nazrul Islam, Worku T. Bitew, Worku T. Bitew, "Target tracking using log-polar transform-based shifted phase-encoded joint transform correlation", Proc. SPIE 9094, Optical Pattern Recognition XXV, 90940B (5 May 2014); doi: 10.1117/12.2051575; https://doi.org/10.1117/12.2051575

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