
Proceedings Paper
Smart unattended sensor networks with scene understanding capabilitiesFormat | Member Price | Non-Member Price |
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Paper Abstract
Unattended sensor systems are new technologies that are supposed to provide enhanced situation awareness to military
and law enforcement agencies. A network of such sensors cannot be very effective in field conditions only if it can
transmit visual information to human operators or alert them on motion. In the real field conditions, events may happen
in many nodes of a network simultaneously. But the real number of control personnel is always limited, and attention of
human operators can be simply attracted to particular network nodes, while more dangerous threat may be unnoticed at
the same time in the other nodes. Sensor networks would be more effective if equipped with a system that is similar to
human vision in its abilities to understand visual information. Human vision uses for that a rough but wide peripheral
system that tracks motions and regions of interests, narrow but precise foveal vision that analyzes and recognizes objects
in the center of selected region of interest, and visual intelligence that provides scene and object contexts and resolves
ambiguity and uncertainty in the visual information. Biologically-inspired Network-Symbolic models convert image
information into an 'understandable' Network-Symbolic format, which is similar to relational knowledge models. The
equivalent of interaction between peripheral and foveal systems in the network-symbolic system is achieved via
interaction between Visual and Object Buffers and the top-level knowledge system.
Paper Details
Date Published: 19 May 2006
PDF: 12 pages
Proc. SPIE 6231, Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII, 62311D (19 May 2006); doi: 10.1117/12.662240
Published in SPIE Proceedings Vol. 6231:
Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII
Edward M. Carapezza, Editor(s)
PDF: 12 pages
Proc. SPIE 6231, Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII, 62311D (19 May 2006); doi: 10.1117/12.662240
Show Author Affiliations
Gary Kuvich, Smart Computer Vision Systems (United States)
Published in SPIE Proceedings Vol. 6231:
Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII
Edward M. Carapezza, Editor(s)
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