DTIC ADA564997: Multi Sensory Features for Personnel pdf

DTIC ADA564997: Multi Sensory Features for Personnel_bookcover

DTIC ADA564997: Multi Sensory Features for Personnel

More Book Details

Description of the Book:

Personnel detection at border crossings has become an important issue recently. To reduce the number of false alarms, it is important to discriminate between humans and four-legged animals. This paper proposes using enhanced summary autocorrelation patterns for feature extraction from seismic sensors, a multi-stage exemplar selection framework to learn acoustic classifier, and temporal patterns from ultrasonic sensors. We compare the results using decision fusion with Gaussian Mixture Model classifiers and feature fusion with Support Vector Machines. From experimental results, we show that our proposed methods improve the robustness of the system

  • Creator/s: Defense Technical Information Center
  • Date: 7/8/2011
  • Year: 2011
  • Book Topics/Themes: DTIC Archive, , ILLINOIS UNIV AT URBANA-CHAMPAIGN, *BORDER SECURITY, *PERSONNEL DETECTION, CROSSINGS, DETECTORS, FEATURE EXTRACTION, HUMANS, SEISMOMETERS, SENSES(PHYSIOLOGY), SENSOR FUSION, ULTRASONICS, VECTOR ANALYSIS, WARNING SYSTEMS

An excerpt captured from the PDF book

DTIC ADA564997: Multi Sensory Features for Personnel_book-excerpt

Report Broken Link

File Copyright Claim

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *

Categories

You might be also interested in these Books

Related Posts
PDF Viewer

الرجاء الانتظار بينما يتم تحميل الـ PDF…
HTML Popup Example