Real World Anomalous Scene Detection and Classification using Multilayer Deep Neural Networks
Surveillance videos record malicious events in a locality utilizing various machine learning algorithms for detection. Deep-learning algorithms being the most prominent AI algorithms are data-hungry as well as computationally expensive. These algorithms perform better when trained over a diverse and...
Main Authors: | Atif Jan, Gul Muhammad Khan |
---|---|
Format: | Article |
Language: | English |
Published: |
Universidad Internacional de La Rioja (UNIR)
2023-06-01
|
Series: | International Journal of Interactive Multimedia and Artificial Intelligence |
Subjects: | |
Online Access: | https://www.ijimai.org/journal/bibcite/reference/3039 |
Similar Items
-
Detecting and Tracking Criminals in the Real World through an IoT-Based System
by: Andrea Tundis, et al.
Published: (2020-07-01) -
Suspicious Behavior Detection with Temporal Feature Extraction and Time-Series Classification for Shoplifting Crime Prevention
by: Amril Nazir, et al.
Published: (2023-06-01) -
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions
by: Varun Mandalapu, et al.
Published: (2023-01-01) -
Requirements for detection of environmental crime
by: Pisarić Milana M.
Published: (2015-01-01) -
Criminalistic characteristics and detection of crimes related to prostitution
by: Shuvalova D.N.
Published: (2014-12-01)