NDLI: Applying Bayes Markov chains for the detection of ATM related scenarios

Content Provider	IEEE Xplore Digital Library
Author	Arsic, D. Lyutskanov, A. Kaiser, M. Schuller, B. Rigoll, G.
Copyright Year	2009
Description	Author affiliation: Institute for Human Machine Communication, Technische Universität Münchnen, Germany (Arsic, D.; Lyutskanov, A.; Kaiser, M.; Schuller, B.; Rigoll, G.)
Abstract	Video surveillance systems have been introduced in various fields of our daily life to enhance security and protect individuals and sensitive infrastructure. Up to now it has been usually utilized as a forensic tool for after the fact investigations and are commonly monitored by human operators. In order to assist these and to be able to react in time, a fully automated system is desired. In this work we will present a multi camera surveillance system, which is required to resolve heavy occlusions, to detect robberies at ATM machines. The resulting trajectories will be analyzed for so called Low Level Activities (LLA), such as walking, running and stationarity, applying simple but robust approaches. The results of the LLA analysis will subsequently be fed into a Bayesian Network, that is used as a stochastic model to model so called High Level Activities (HLA). Introducing state transitions between HLAs will allow a temporal modeling of a complex scene. This can be represented by a Markovian process.
Starting Page	1
Ending Page	8
File Size	619967
Page Count	8
File Format	PDF
ISBN	9781424454976
ISSN	15505790
e-ISBN	9781424454983
DOI	10.1109/WACV.2009.5403046
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video surveillance Security Protection Forensics Monitoring Humans Cameras Legged locomotion Robustness Bayesian methods
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
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