Share Email Print
cover

Proceedings Paper

Applied optimization of a video pre-processor for tracking
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 12 May 2010
PDF: 8 pages
Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 76961B (12 May 2010); doi: 10.1117/12.847596
Show Author Affiliations
Douglas A. Scott, GE Intelligent Platforms Image-Processing (United Kingdom)
Olegs Mise, GE Intelligent Platforms Image-Processing (United Kingdom)


Published in SPIE Proceedings Vol. 7696:
Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI
Firooz A. Sadjadi; David P. Casasent; Steven L. Chodos; Abhijit Mahalanobis; William E. Thompson; Tien-Hsin Chao, Editor(s)

© SPIE. Terms of Use
Back to Top