NDLI: Smart surveillance framework: A versatile tool for video analysis

Content Provider	IEEE Xplore Digital Library
Author	Nazare, A.C. dos Santos, C.E. Ferreira, R. Robson Schwartz, W.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil (Nazare, A.C.; dos Santos, C.E.; Ferreira, R.; Robson Schwartz, W.)
Abstract	Computer Vision problems applied to visual surveillance have been studied for several years aiming at finding accurate and efficient solutions, required to allow the execution of surveillance systems in real environments. The main goal of such systems is to analyze the scene focusing on the detection and recognition of suspicious activities performed by humans in the scene, so that the security personnel can pay closer attention to these preselected activities. To accomplish that, several problems have to be solved first, for instance background subtraction, person detection, tracking and re-identification, face recognition, and action recognition. Even though each of these problems have been researched in the past decades, they are hardly considered in a sequence, each one is usually solved individually. However, in a real surveillance scenarios, the aforementioned problems have to be solved in sequence considering only videos as the input. Aiming at the direction of evaluating approaches in more realistic scenarios, this work proposes a framework called Smart Surveillance Framework (SSF), to allow researchers to implement their solutions to the above problems as a sequence of processing modules that communicate through a shared memory.
Sponsorship	IEEE Comput. Soc.
Starting Page	753
Ending Page	760
File Size	1839895
Page Count	8
File Format	PDF
ISBN	9781479949854
DOI	10.1109/WACV.2014.6836027
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Surveillance Face recognition Visualization Computer vision Cameras
Content Type	Text
Resource Type	Article

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

Smart Surveillance Framework: A Versatile Tool for Video Analysis

A probabilistic framework for object recognition in video

Video entity resolution: Applying ER techniques for Smart Video Surveillance

Object classification based on visual and extended features for video surveillance application

A framework for key frame extraction from surveillance video

Synthetic face generation under various operational conditions in video surveillance

Efficient privacy preserving video surveillance

Dangerous object recognition for visual surveillance

A machine learning system for human-in-the-loop video surveillance

Smart surveillance framework: A versatile tool for video analysis

Similar Documents

Smart Surveillance Framework: A Versatile Tool for Video Analysis

A probabilistic framework for object recognition in video

Video entity resolution: Applying ER techniques for Smart Video Surveillance

Object classification based on visual and extended features for video surveillance application

A framework for key frame extraction from surveillance video

Synthetic face generation under various operational conditions in video surveillance

Efficient privacy preserving video surveillance

Dangerous object recognition for visual surveillance

A machine learning system for human-in-the-loop video surveillance

Smart surveillance framework: A versatile tool for video analysis