Applied optimization of a video pre-processor for tracking

Douglas A. Scott; Olegs Mise

doi:10.1117/12.847596

12 May 2010 Applied optimization of a video pre-processor for tracking

Douglas A. Scott, Olegs Mise

Proceedings Volume 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI; 76961B (2010) https://doi.org/10.1117/12.847596
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

An adaptive image pre-processor has been developed for a next-generation video tracking system. In a previous paper we presented a wavelet-based enhancement pre-processor (AWEP) which showed good segmentation capability. Here we discuss the impact of structural and implementation constraints placed on the algorithm during targeting on a low power FPGA device. We discuss the underlying issues and outline our approach to compensating the effect and regaining stability. Output results are given illustrating the segmentation performance after applied optimization of the decomposition filter kernels. A set of results from the tracking system are presented to demonstrate the effectiveness of the AWEP implementation on the tracking performance applied to real video.

Citation Download Citation

Douglas A. Scott and Olegs Mise "Applied optimization of a video pre-processor for tracking", Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 76961B (12 May 2010); https://doi.org/10.1117/12.847596

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