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Proceedings Paper

Real-time pre-ATR video data reduction in wireless networks
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Paper Abstract

A lot of efforts have been pursued in Automatic Target Recognition (ATR), including, based on: Fourier transform, wavelet transform, novelty filtering, and many others. Unfortunately, in all these methods, a target, either on-the-move (OTM), or static, has to already be identified. Such a Target Identification (ID) pre-ATR process, however, requires significant data reduction that must be done before the ATR process starts. The pre-ATR ID process becomes complex if it is performed by RF-wireless visual sensor networks, based on Unmanned Ground Vehicles (UGVs), or other ground vehicles. The visual sensors include: TV cameras, artificial animal eyes [1] (fish eye, bug eye, lobster eye [2], etc.), and other video-like sensors. These sensors need to work not only autonomously autonomously, but also in cooperation , through RFwireless inter-communication which should be continuous to preserve constant cooperation. Such constant video communication should avoid video image breakdown (in the form of heavy pixeling, or complete image blackout) under abrupt worsening of digital data transfer conditions, in terms of increasing environmental noise (or, reducing SNR), and/or increasing of BER (bit-error-rate) of the video signal transfer. Thus, replacement of image breakdown by its graceful degradation (i.e., preserving image continuity at the expense of quality reduction) is a central issue of the realtime pre-ATR video data reduction. In this paper, we will first discuss the conditions of continuous video RF-communication, based on graceful image degradation, and then analyze some important examples of the real-time pre-ATR video data reduction, based on cooperative video networks, with TV-cameras, as visual sensors.

Paper Details

Date Published: 19 May 2006
PDF: 9 pages
Proc. SPIE 6234, Automatic Target Recognition XVI, 62340M (19 May 2006); doi: 10.1117/12.663148
Show Author Affiliations
Tomasz Jannson, Physical Optics Corp. (United States)
Andrew Kostrzewski, Physical Optics Corp. (United States)

Published in SPIE Proceedings Vol. 6234:
Automatic Target Recognition XVI
Firooz A. Sadjadi, Editor(s)

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