Automated intruder detection from image sequences using minimum volume sets

Automated intruder detection from image sequences using minimum volume sets

This article was published in the International Journal of Communication Networks and Information Security [© 2014 IJCNIS] and The Article's website is at: http://www.ijcnis.org/index.php/ijcnis/article/view/88

Bibliographische Detailangaben
Hauptverfasser: Ahmed, Tarem, Wei, Xianglin, Ahmed, Supriyo Sabbir, Pathan, Al-Sakib Khan
Weitere Verfasser: Department of Electrical and Electronic Engineering, BRAC University
Format: Artikel
Sprache:English
Veröffentlicht: © 2012 International Journal of Communication Networks and Information Security 2016
Schlagworte:
Automated surveillance
Learning algorithms
Online anomaly detection
Real-time outlier detection
Online Zugang:http://hdl.handle.net/10361/7206

Online

http://hdl.handle.net/10361/7206

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