publication . Article . 2016

MSU–Iligan Institute of Technology and *Mindanau State University, Philippines

Veldin A. Talorete Jr.; Sherwin A Guirnaldo;
Open Access
  • Published: 30 Mar 2016 Journal: International Journal on Smart Material and Mechatronics, volume 2, pages 10-17 (issn: 2356-5314, eissn: 2460-075X, Copyright policy)
  • Publisher: Engineering Faculty of Hasanuddin University
Abstract
This paper presents an intelligent machine vision for automated fence intruder detection. A series of still captured images that contain fence events using Internet Protocol cameras was used as input data to the system. Two classifiers were used; the first is to classify human posture and the second one will classify intruder location. The system classifiers were implemented using Self-Organizing Map after the implementation of several image segmentation processes. The human posture classifier is in charge of classifying the detected subject’s posture patterns from subject’s silhouette. Moreover, the Intruder Localization Classifier is in charge of classifying t...
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputingMethodologies_PATTERNRECOGNITION
free text keywords: Technology, T, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Materials of engineering and construction. Mechanics of materials, TA401-492
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publication . Article . 2016

MSU–Iligan Institute of Technology and *Mindanau State University, Philippines

Veldin A. Talorete Jr.; Sherwin A Guirnaldo;