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Tuesday, October 13, 2020 | History

1 edition of AVSS 2008 found in the catalog.

AVSS 2008

IEEE International Conference on Advanced Video and Signal Based Surveillance (5th 2008 Santa Fe, N.M.)

AVSS 2008

IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance : proceedings : 1-3 September 2008, Santa Fe, New Mexico

by IEEE International Conference on Advanced Video and Signal Based Surveillance (5th 2008 Santa Fe, N.M.)

  • 236 Want to read
  • 23 Currently reading

Published by IEEE Computer Society, Conference Publishing Services in Los Alamitos, Calif .
Written in English

    Subjects:
  • Congresses,
  • Computer vision,
  • Image processing,
  • Electronic surveillance,
  • Closed-circuit television

  • Edition Notes

    Other titlesIEEE Fifth International Conference on Advanced Video and Signal Based Surveillance, Advanced Video and Signal Based Surveillance
    Statementsponsored by IEEE Pattern Analysis and Machine Intelligence, IEEE Signal Processing Society
    ContributionsIEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence, IEEE Signal Processing Society
    Classifications
    LC ClassificationsTK6680.3 .I33 2008
    The Physical Object
    Paginationxxiv, 60 p. ;
    Number of Pages60
    ID Numbers
    Open LibraryOL25040284M
    ISBN 100769533418
    ISBN 109780769533414
    LC Control Number2008929486
    OCLC/WorldCa301577314

    Abstract: This is a commentary paper on ldquoMulti-view access monitoring and singularization in interlocksrdquo. Stefano et al. () presents a multi-view approach to access monitoring and classification of single or multiple occupants (singularization detection) in . Abstract: In this paper a technique for motion detection that exploits the Gaussian mixture models (GMM) and basic background subtraction (BBS) is proposed. For every frame, each pixel is modeled with almost K Gaussian distributions. All the existing GMM based techniques use a threshold to set a priori the number of Gaussians to represent the background.

    Abstract: This paper presents a very good approach for tracking through occlusion by applying a probabilistic model to tracking features on an object. The authors present that the method works well even through partial occlusions. Parks, D.H., Fels, S.S.: Evaluation of Background Subtraction Algorithms with Post-Processing. In: IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance, AVSS , pp. – () Google ScholarCited by:

    Chung-Hao Chen, Yi Yao, David Page, Besma Abidi, Andreas Koschan, and Mongi Abidi, “ Camera Handoff with Adaptive Resource Management for Multi-Camera Multi-Target Surveillance, ” The 5 th IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS ), Santa Fe, September Parks, D.H., Fels, S.S.: Evaluation of Background Subtraction Algorithms with Post-Processing. In: IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance, AVSS () Google Scholar.


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AVSS 2008 by IEEE International Conference on Advanced Video and Signal Based Surveillance (5th 2008 Santa Fe, N.M.) Download PDF EPUB FB2

Home Browse by Title Proceedings AVSS '08 Evaluation of Background Subtraction Algorithms with Post-Processing ARTICLE Evaluation of Background Subtraction.

AVSS Commentary Paper for: "Tracking People in Crowds by a Part Matching Approach" Abstract: One of the major problems remaining in tracking is occlusion handling. This paper presents a system for exactly this. Home Browse by Title Proceedings AVSS '08 A Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling ARTICLE A Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling.

One of the major problems remaining in tracking is occlusion handling. This paper presents a system for exactly this. A human model is defined and each body part is represented by a number of features.

For each new image in a sequence a foreground mask is obtained and compared to each body part of a predicted model of the human. Head detection is utilized to stabilize the. Get this from a library. AVSS IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance: proceedings: SeptemberSanta Fe, New Mexico.

[IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence.; IEEE Signal Processing Society.;]. Explore releases from the AVSS label. Discover what's missing in your discography and shop for AVSS releases.

book ISBN: book e-ISBN: DOI /AVSS Keywords. video surveillance video signal processing. Most Popular Books Published In Top books published in that people have added on Goodreads.

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Search the world's most comprehensive index of full-text books. My library. The first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia, and environmental monitoring Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation issues, architectures, and applicationsPresents in detail the latest developments in multi-camera Reviews: 1.

×Close. The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. Abstract: In this paper we propose a novel approach to the detection of abandoned luggage in video surveillance.

Candidates of abandoned luggage items which may pose potential security threats are first identified and localized by our proposed foreground-mask sampling technique. Use the AVS Publications Digital Library as your portal to access all JVST A, JVST B, SSS, Biointerphases.

and site features recently published and research highlights as well as advanced search capabilities. To access other valuable newsletters, conference proceedings, presentations of demand, books, etc., visit the AVS Technical Library.

Abstract: This paper describes a simple and novel algorithm for detecting foreground objects in video sequences using just two consecutive frames. The method isdivided in three layers: the perceptual layer detects regions of interest by looking for pixels whose values change significantly between the two frames.Object Tracking by Non-overlapping Distributed Camera Network.

Authors; Authors and affiliations IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance. AVSSpp. Mazzeo P.L., Spagnolo P., D’Orazio T.

() Object Tracking by Non-overlapping Distributed Camera Network. In: Blanc-Talon J., Philips Cited by: 9.For original paper see, ibid.,p, ().

This paper proposed an object- and task-oriented architecture for automated video surveillance in distributed sensor networks. The proposed work is implemented and evaluated in an experimental testbed consisting 25 nodes.