Paper
21 September 2004 Fringe-adjusted joint-transform-correlation-based hetero-associative multiple target-tracking
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Abstract
A technique has been formulated based on hetero-associative target detection strategy that recognizes and tracks multiple dissimilar or hetero-associative targets from gray-scale image sequences taken from a moving aircraft in real time. Fringe-adjusted joint transform correlation combined with the proposed hetero-associative filter is used to enhance the correlation performance and thus ensures strong and equal cross-correlation peak for each element of the selected class. Tracking is accomplished by combining the analysis of single image frame with the determination of the motion from consecutive image frames. For efficient performance, the desired targets are identified prior to be tracked by correlating successive frames using the proposed filter which is an enhanced version of the fringe-adjusted filter. The optimality of the tracking performance is tested by MATLAB software.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohammad S. Alam, Jesmin F. Khan, and Abdullah Bal "Fringe-adjusted joint-transform-correlation-based hetero-associative multiple target-tracking", Proc. SPIE 5426, Automatic Target Recognition XIV, (21 September 2004); https://doi.org/10.1117/12.542315
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Target detection

Detection and tracking algorithms

Electronic filtering

Fourier transforms

Optical tracking

Target recognition

Joint transforms

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