Open AccessAn Optimized CNN based Real World Anomaly Detection in Surveillance Videos
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i1074.0789s19
Subject(s) - anomaly detection , computer science , artificial intelligence , convolutional neural network , pattern recognition (psychology) , anomaly (physics) , feature (linguistics) , process (computing) , feature selection , genetic algorithm , machine learning , linguistics , philosophy , physics , condensed matter physics , operating system