Adaptive detection and enhancement pre-processor for tracking

Douglas Scott; Olegs Mise

doi:10.1117/12.818932

4 May 2009 Adaptive detection and enhancement pre-processor for tracking

Douglas Scott, Olegs Mise

Proceedings Volume 7338, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII; 733808 (2009) https://doi.org/10.1117/12.818932
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Douglas Scott and Olegs Mise "Adaptive detection and enhancement pre-processor for tracking", Proc. SPIE 7338, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII, 733808 (4 May 2009); https://doi.org/10.1117/12.818932

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