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Proceedings Paper

Adaptive detection and enhancement pre-processor for tracking
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Paper Abstract

An adaptive image pre-processor has been developed as a high-performance front-end for a next-generation multi-target tracking (MTT) system. The tracking system is designed to track targets across potentially multiple and distributed electro-optic video sensors. Typically a pre-processor operates to enhance targets and assist the tracking. However, they frequently rely on expert knowledge to configure the algorithm for the particular application and hence do not cope adequately given unexpected variations or generic application. The pre-processor developed for our MTT system achieves a significantly improved and robust performance by using an adaptive approach based on wavelet decomposition and a "supporting-classifier" method. It is capable of detecting and dynamically maintaining a target-definition optimized for tracking, whilst maximally suppressing non-related clutter. This paper presents an overview of the architecture and demonstrates its performance on real video scenes.

Paper Details

Date Published: 4 May 2009
PDF: 8 pages
Proc. SPIE 7338, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII, 733808 (4 May 2009); doi: 10.1117/12.818932
Show Author Affiliations
Douglas Scott, GE Fanuc Intelligent Platforms (United Kingdom)
Olegs Mise, GE Fanuc Intelligent Platforms (United Kingdom)


Published in SPIE Proceedings Vol. 7338:
Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII
Steven L. Chodos; William E. Thompson, Editor(s)

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