NDLI: Adaptive sensor management for feature-based classification

Content Provider	IEEE Xplore Digital Library
Author	Jenkins, K. Castanon, D.A.
Copyright Year	2010
Description	Author affiliation: Dept of Electrical & Computer Eng., Boston University, USA (Jenkins, K.; Castanon, D.A.)
Abstract	Modern surveillance systems often employ multiple steerable sensors that are capable of collecting information on selected objects in their environment. In this paper, we study the problem of managing these sensors adaptively to classify a collection of objects using information on their observed features. We develop a new theory for sensor management that models sensors as providing observations of object features subject to degradation by noise, obscuration, missed detections and background clutter. We establish a statistical framework, based on random sets, to characterize the relationship between observed features and object types. This model uses Bhattacharyya distances to generate off-line apriori estimates of the discrimination value of measurements. These estimates are combined with real time information to generate predictions of the usefulness of measurements. Using these predictions, we develop assignment algorithms to compute sensor management strategies. The resulting sensor management algorithms are capable of solving problems involving a large numbers of objects in real-time. We show simulations of the resulting algorithms for classifying 3-dimensional objects from 2-dimensional noisy projections, and show how the algorithms select complementary views to overcome obscuration and provide accurate classification. Our real-time algorithms achieve comparable classification accuracy to on-line approaches that also evaluate the value of information, while requiring nearly five orders of magnitude less computation.
Starting Page	522
Ending Page	527
File Size	383985
Page Count	6
File Format	PDF
ISBN	9781424477456
ISSN	07431546
e-ISBN	9781424477463
DOI	10.1109/CDC.2010.5718142
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Solid modeling Computational modeling Real time systems Classification algorithms Sensors Prediction algorithms
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Information-based adaptive sensor management for sensor networks

Controlled sensing for classification using image-based sensor networks

A hierarchical predictive scheme for incremental time-series classification

Fast vehicle detection based on feature and real-time prediction

KPCA based multi-spectral segments feature extraction and GA based Combinatorial optimization for frequency spectrum data modeling

Prediction based bandwidth reservation

Realization using the FM model for implementations in distributed grid sensor networks

Sensor control for search and identification of Markov objects

Design of a real-time adaptive power optimal system

Adaptive sensor management for feature-based classification

Similar Documents

Information-based adaptive sensor management for sensor networks

Controlled sensing for classification using image-based sensor networks

A hierarchical predictive scheme for incremental time-series classification

Fast vehicle detection based on feature and real-time prediction

KPCA based multi-spectral segments feature extraction and GA based Combinatorial optimization for frequency spectrum data modeling

Prediction based bandwidth reservation

Realization using the FM model for implementations in distributed grid sensor networks

Sensor control for search and identification of Markov objects

Design of a real-time adaptive power optimal system

Adaptive sensor management for feature-based classification