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Proceedings Paper

Multitarget tracking system based on binary phase extraction joint transform correlator and neural data association algorithm
Author(s): Sang-Yi Yi; Chang Myung Ryu; Eun-Soo Kim
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Paper Abstract

In this paper, we present an OptoNeural approach to the problem of multitarget tracking. The proposed hybrid OptoNeural system uses a new optical binary phase extraction joint transform correlator (BPEJTC) to reduce the massive input target data into a few correlation peak signals. A parallel computational neural network is then used for effective target tracking data association based on these correlation signals. For real-time operation, the BPEJTC is optically implemented using the high resolution LCD spatial light modulators and CCD detectors. Some experimental results on simultaneous tracking of multitargets are also provided.

Paper Details

Date Published: 1 March 1994
PDF: 11 pages
Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); doi: 10.1117/12.169434
Show Author Affiliations
Sang-Yi Yi, Kwangwoon Univ. (South Korea)
Chang Myung Ryu, Kwangwoon Univ. (South Korea)
Eun-Soo Kim, Kwangwoon Univ. (South Korea)


Published in SPIE Proceedings Vol. 2237:
Optical Pattern Recognition V
David P. Casasent; Tien-Hsin Chao, Editor(s)

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