Multitarget tracking system based on binary phase extraction joint transform correlator and neural data association algorithm

Sang-Yi Yi; Chang Myung Ryu; Eun-Soo Kim

doi:10.1117/12.169434

1 March 1994 Multitarget tracking system based on binary phase extraction joint transform correlator and neural data association algorithm

Sang-Yi Yi, Chang Myung Ryu, Eun-Soo Kim

Author Affiliations +

Proceedings Volume 2237, Optical Pattern Recognition V; (1994) https://doi.org/10.1117/12.169434
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Sang-Yi Yi, Chang Myung Ryu, and Eun-Soo Kim "Multitarget tracking system based on binary phase extraction joint transform correlator and neural data association algorithm", Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); https://doi.org/10.1117/12.169434

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