NDLI: Anomaly Detection Based on Local Nearest Neighbor Distance Descriptor in Crowded Scenes

Content Provider	PubMed Central
Author	Hu, Xing Hu, Shiqiang Zhang, Xiaoyu Zhang, Huanlong Luo, Lingkun
Copyright Year	2014
Abstract	We propose a novel local nearest neighbor distance (LNND) descriptor for anomaly detection in crowded scenes. Comparing with the commonly used low-level feature descriptors in previous works, LNND descriptor has two major advantages. First, LNND descriptor efficiently incorporates spatial and temporal contextual information around the video event that is important for detecting anomalous interaction among multiple events, while most existing feature descriptors only contain the information of single event. Second, LNND descriptor is a compact representation and its dimensionality is typically much lower than the low-level feature descriptor. Therefore, not only the computation time and storage requirement can be accordingly saved by using LNND descriptor for the anomaly detection method with offline training fashion, but also the negative aspects caused by using high-dimensional feature descriptor can be avoided. We validate the effectiveness of LNND descriptor by conducting extensive experiments on different benchmark datasets. Experimental results show the promising performance of LNND-based method against the state-of-the-art methods. It is worthwhile to notice that the LNND-based approach requires less intermediate processing steps without any subsequent processing such as smoothing but achieves comparable event better performance.
Related Links	http://dx.doi.org/10.1155/2014/632575
Starting Page	632575
File Format	PDF
ISSN	23566140
e-ISSN	1537744X
Journal	The Scientific World Journal
Volume Number	2014
Language	English
Publisher	Hindawi Publishing Corporation
Publisher Date	2014-01-01
Access Restriction	Open
Rights Holder	Hindawi Publishing Corporation
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Environmental Science(all) Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Medicine Biochemistry, Genetics and Molecular Biology Environmental Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Anomaly Detection Based on Local Nearest Neighbor Distance Descriptor in Crowded Scenes

Testing Spatial Symmetry Using Contingency Tables Based on Nearest Neighbor Relations

Anomaly Detection and Localization in Crowded Scenes

Data Delivery Method Based on Neighbor Nodes' Information in a Mobile Ad Hoc Network

Testing Spatial Symmetry Using Contingency Tables Based on Nearest Neighbor Relations

Multiscale Region-Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning

Distance Measures for Anomaly Intrusion Detection

Z-Distance Based IF-THEN Rules

Dynamic Multiobjective Optimization Algorithm Based on Average Distance Linear Prediction Model

Anomaly Detection Based on Local Nearest Neighbor Distance Descriptor in Crowded Scenes

Similar Documents

Anomaly Detection Based on Local Nearest Neighbor Distance Descriptor in Crowded Scenes

Testing Spatial Symmetry Using Contingency Tables Based on Nearest Neighbor Relations

Anomaly Detection and Localization in Crowded Scenes

Data Delivery Method Based on Neighbor Nodes' Information in a Mobile Ad Hoc Network

Testing Spatial Symmetry Using Contingency Tables Based on Nearest Neighbor Relations

Multiscale Region-Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning

Distance Measures for Anomaly Intrusion Detection

Z-Distance Based IF-THEN Rules

Dynamic Multiobjective Optimization Algorithm Based on Average Distance Linear Prediction Model

Anomaly Detection Based on Local Nearest Neighbor Distance Descriptor in Crowded Scenes