NDLI: Relating "Pace' to Activity Changes in Mono- and Multi-camera Surveillance Videos

Content Provider	IEEE Xplore Digital Library
Author	Li-Qun Xu Anjulan, A.
Copyright Year	2009
Abstract	More and more cameras are being installed everyday for safety, security and intelligence gathering purposes, making the volume of storage videos increase all the time. It is therefore important to manage this resource to be able to cast a structured (hierarchical) view into the activities of long video files to catalogue only interesting or relevant domain events. This paper aims to address this issue by proposing a novel and efficient computational approach to ascertaining semantic segmentation of scene activities exhibited in monocular or multi-view surveillance videos. The key to achieve this is to derive the so-called ‘pace’ descriptor, reflecting the change in underlying scene activities of a surveillance site, based on detecting key scene frames and modeling its temporal distribution. The former is performed by extracting 2D or 3D appearance-based subspace embedding features, followed by a time-constrained agglomerative data clustering. The latter models the density of such key frames distribution in the time domain, and then applies a visual curve segmentation algorithm to identify scene segments of different activities. The approach is especially suited for crowd scene segmentation, and it has been evaluated with real-world surveillance videos of both underground platforms and a busy industrial park entrance in rush hours with promising results.
Starting Page	104
Ending Page	109
File Size	1256096
Page Count	6
File Format	PDF
ISBN	9781424447558
DOI	10.1109/AVSS.2009.81
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-02
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	holistic approach site activity segmentation Security Data mining Secure storage Videos Surveillance Layout subspace embedding Smart cameras Clustering algorithms crowded scene analysis Safety Resource management video surveillance
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

Real-Time Object Segmentation in Smart Camera for Remote Surveillance Scenario

Resolution mosaic-based Smart Camera for video surveillance

Multi-tasking Smart Cameras for Intelligent Video Surveillance Systems

Freeway Auto-surveillance From Traffic Video

Video surveillance of high security facility (2004)

A secure DTN-based smart camera surveillance system

Video surveillance of high security facility (2004)

Multi-camera video surveillance

Correspondence-Free Activity Analysis and Scene Modeling in Multiple Camera Views

Relating "Pace' to Activity Changes in Mono- and Multi-camera Surveillance Videos

Similar Documents

Real-Time Object Segmentation in Smart Camera for Remote Surveillance Scenario

Resolution mosaic-based Smart Camera for video surveillance

Multi-tasking Smart Cameras for Intelligent Video Surveillance Systems

Freeway Auto-surveillance From Traffic Video

Video surveillance of high security facility (2004)

A secure DTN-based smart camera surveillance system

Video surveillance of high security facility (2004)

Multi-camera video surveillance

Correspondence-Free Activity Analysis and Scene Modeling in Multiple Camera Views

Relating "Pace' to Activity Changes in Mono- and Multi-camera Surveillance Videos