A real-time anomaly intrusion and theft items detecting system for surveillance videos

Lu, Xiaofeng; Jin, Minxi; Yu, Songyu; Wang, Lina; Lu, Hengli

doi:10.1109/icalip.2010.5685150

2010 International Conference on Audio, Language and Image Processing 2010

DOI: 10.1109/icalip.2010.5685150

|View full text |Cite

A real-time anomaly intrusion and theft items detecting system for surveillance videos

Xiaofeng Lu

Minxi Jin

Songyu Yu

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2019

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A real-time anomaly intrusion and theft items detecting system for surveillance videos

Cited by 1 publication

References 8 publications

Rejecting Motion Outliers for Efficient Crowd Anomaly Detection

Rejecting Motion Outliers for Efficient Crowd Anomaly Detection

Contact Info

Product

Resources

About