Dynamic video anomaly detection and localization using sparse denoising autoencoders

Title
Dynamic video anomaly detection and localization using sparse denoising autoencoders
Authors
Keywords
Anomaly detection, Deep learning, Sparse autoencoders, Crowded scene parsing, Real-time systems, Unsupervised learning
Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume 77, Issue 11, Pages 13173-13195
Publisher
Springer Nature
Online
2017-06-22
DOI
10.1007/s11042-017-4940-2

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started