Share Email Print
cover

Proceedings Paper

Unification of automatic target tracking and automatic target recognition
Author(s): Bruce J. Schachter
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

The subject being addressed is how an automatic target tracker (ATT) and an automatic target recognizer (ATR) can be fused together so tightly and so well that their distinctiveness becomes lost in the merger. This has historically not been the case outside of biology and a few academic papers. The biological model of ATT∪ATR arises from dynamic patterns of activity distributed across many neural circuits and structures (including retina). The information that the brain receives from the eyes is “old news” at the time that it receives it. The eyes and brain forecast a tracked object’s future position, rather than relying on received retinal position. Anticipation of the next moment – building up a consistent perception – is accomplished under difficult conditions: motion (eyes, head, body, scene background, target) and processing limitations (neural noise, delays, eye jitter, distractions). Not only does the human vision system surmount these problems, but it has innate mechanisms to exploit motion in support of target detection and classification. Biological vision doesn’t normally operate on snapshots. Feature extraction, detection and recognition are spatiotemporal. When vision is viewed as a spatiotemporal process, target detection, recognition, tracking, event detection and activity recognition, do not seem as distinct as they are in current ATT and ATR designs. They appear as similar mechanism taking place at varying time scales. A framework is provided for unifying ATT and ATR.

Paper Details

Date Published: 13 June 2014
PDF: 17 pages
Proc. SPIE 9090, Automatic Target Recognition XXIV, 909002 (13 June 2014); doi: 10.1117/12.2048595
Show Author Affiliations
Bruce J. Schachter, Northrop Grumman Corp. (United States)


Published in SPIE Proceedings Vol. 9090:
Automatic Target Recognition XXIV
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

© SPIE. Terms of Use
Back to Top