NDLI: A new method for violence detection in surveillance scenes

Content Provider	Springer Nature Link
Author	Zhang, Tao Yang, Zhijie Jia, Wenjing Yang, Baoqing Yang, Jie He, Xiangjian
Copyright Year	2015
Abstract	Violence detection is a hot topic for surveillance systems. However, it has not been studied as much as for action recognition. Existing vision-based methods mainly concentrate on violence detection and make little effort to determine the location of violence. In this paper, we propose a fast and robust framework for detecting and localizing violence in surveillance scenes. For this purpose, a Gaussian Model of Optical Flow (GMOF) is proposed to extract candidate violence regions, which are adaptively modeled as a deviation from the normal behavior of crowd observed in the scene. Violence detection is then performed on each video volume constructed by densely sampling the candidate violence regions. To distinguish violent events from nonviolent events, we also propose a novel descriptor, named as Orientation Histogram of Optical Flow (OHOF), which are fed into a linear SVM for classification. Experimental results on several benchmark datasets have demonstrated the superiority of our proposed method over the state-of-the-arts in terms of both detection accuracy and processing speed, even in crowded scenes.
Starting Page	7327
Ending Page	7349
Page Count	23
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	75
Issue Number	12
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2015-05-03
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Action recognition Violence detection Surveillance scenes Gaussian model of optical flow (GMOF) Orientation histogram of optical flow (OHOF) Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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

One example based action detection in hough space

Customer behavior classification using surveillance camera for marketing

Abnormal event detection in crowded scenes based on deep learning

Target tracking algorithm based on optical flow method using corner detection

Vehicle detection and recognition for intelligent traffic surveillance system

Evaluation of multiple features for violent scenes detection

Guest editorial: Advances in multimedia surveillance

MoWLD: a robust motion image descriptor for violence detection

Duplicate video detection for large-scale multimedia

A new method for violence detection in surveillance scenes

Similar Documents

One example based action detection in hough space

Customer behavior classification using surveillance camera for marketing

Abnormal event detection in crowded scenes based on deep learning

Target tracking algorithm based on optical flow method using corner detection

Vehicle detection and recognition for intelligent traffic surveillance system

Evaluation of multiple features for violent scenes detection

Guest editorial: Advances in multimedia surveillance

MoWLD: a robust motion image descriptor for violence detection

Duplicate video detection for large-scale multimedia

A new method for violence detection in surveillance scenes