Abstract

A heteroassociative joint transform correlation (JTC) technique is proposed for recognizing and tracking multiple heteroassociative or dissimilar targets from gray-level image sequences by use of the concept of fringe-adjusted JTC and a multiple-target-detection algorithm. A fringe-adjusted JTC technique is used to ensure quantification of the similarities among several input images while it satisfies the equal-correlation-peak criterion. Tracking is accomplished by retrieval of the target motion information estimated from multiple consecutive image frames. An enhanced version of the fringe-adjusted filter is incorporated into the heteroassociative multiple-target-detection process to optimize the correlation performance. The feasibility of the proposed technique is tested by computer simulation with real infrared image data.

© 2004 Optical Society of America

Dynamic target tracking with fringe-adjusted joint transform correlation and template matching

Abdullah Bal and Mohammad S. Alam
Appl. Opt. 43(25) 4874-4881 (2004)

Class-associative multiple target detection by use of fringe-adjusted joint transform correlation

M. S. Alam and M. M. Rahman
Appl. Opt. 41(35) 7456-7463 (2002)

Fringe-adjusted joint transform correlation

Mohammad S. Alam and Mohammad A. Karim
Appl. Opt. 32(23) 4344-4350 (1993)

Three-dimensional fringe-adjusted joint transform correlation

Mohammad S. Alam and Sheue Feng Goh
Appl. Opt. 43(18) 3680-3685 (2004)

Reference phase-encoded fringe-adjusted joint transform correlation

Abdallah K. Cherri and Mohammad S. Alam
Appl. Opt. 40(8) 1216-1225 (2001)