NDLI: Independent motion detection directly from compressed surveillance video

Please wait, while we are loading the content...

A convex penalty method for optical human motion tracking

Motion analysis of Omni-Directional video streams for a mobile sentry

Computer vision techniques for PDA accessibility of in-house video surveillance

Multi-level background initialization using Hidden Markov Models

Resolution enhancement of facial image based on top-down learning

A novel technique for indexing video surveillance data

Multi-views tracking within and across uncalibrated camera streams

Recognition of two-person interactions using a hierarchical Bayesian network

3D video surveillance with Augmented Virtual Environments

Independent motion detection directly from compressed surveillance video

Experiential Sampling for video surveillance

A master-slave system to acquire biometric imagery of humans at distance

Independent motion detection directly from compressed surveillance video

Content Provider	ACM Digital Library
Author	Zhang, Zhongfei Mark Kurtev, Stoyan
Abstract	This paper presents a novel solution to the problem frequently encountered in military/intelligence surveillance: automatic mining video data for independently moving targets. Instead of attempting to detect each individual independently moving target in each frame, this method focuses on determining whether or not each frame has independent motion. Consequently, it differs from the existing literature on this topic in the following two aspects: (1) fast detection (2) detection directly from the compressed video streams instead of from the image sequences. These two aspects are motivated from the applications that this research aims to address, and therefore, are the contributions to the literature of independent motion detection. The solution is based on the Linear System Consistency Analysis, and thus is called LSCA. A number of distinctive technical advantages of LSCA as compared with the existing methods in the literature are identified. Evaluations from both simulated and real data show that LSCA holds a great promise in achieving fast detection without sacrificing the reasonable detection accuracy.
Starting Page	34
Ending Page	47
Page Count	14
File Format	PDF
ISBN	158113780X
DOI	10.1145/982452.982457
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2003-11-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Mpeg Singular value decomposition (svd) Surveillance video Linear system consistency analysis (lsca) Independent motion detection
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

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