Abstract

The joint transform correlator (JTC) technique has been found to be suitable for real-time matching and tracking operations. Among the various JTC techniques proposed in the literature, the fringe-adjusted JTC has been found to yield better correlation output for target detection. In this paper, we propose a generalized fringe-adjusted JTC based algorithm for detecting and tracking a target in a video image sequence. The proposed JTC based algorithm has been found to be suitable for near real time recognition and tracking of a static or moving target. The performance of the proposed technique has been verified with real life image sequences.

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