In the first part of this paper, a brief tutorial review of sensor fusion for target recognition applications is presented. In this context, relevant aspects of system architecture, sensor integration, and data fusion are discussed. Several unresolved issues in the practical implementation of sensor fusion are identified; significant among these are the rationale for selection of a sensor suite and a means for optimal allocation of requirements between sensors. In the second part, a novel methodology offering the potential for resolving these two issues is presented. An approach to defining sensor data information content is described. Coupling this approach with accepted rules of thumb describing target recognition capabilities results in a quantitative method for comparing the target recognition ability of diverse sensors (imagers, non-imagers, active, passive, electromagnetic, acoustic, etc.). Extension to describing the performance of multiple sensors is straightforward. Application of the technique to sensor selection and requirements allocation is discussed.
This paper describes an approach for intruder detection by a remote
surveillance system. Emphasis is placed on the development of
multispectral vision techniques for the extraction of information from
a noisy and cluttered environment. This approach uses adaptive
detection for operation under changing illumination and thermal
environments. The system is initialized with an operator-guided
segmentation to partition the scene into regions of similar noise
characteristics and processing priorities. Images from a color TV and
a FLIR are registered electronically and a common segmentation is used
for both. Detection processing in corresponding regions of the two
sensors' images are closely coupled. A system testbed is described and
several processing sequences are presented which illustrate the
approach.
Proceedings Volume Editor (5)
This will count as one of your downloads.
You will have access to both the presentation and article (if available).
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.