CDnet 2014: An expanded change detection benchmark dataset

Yi Wang*, Pierre Marc Jodoin, Fatih Porikli, Janusz Konrad, Yannick Benezeth, Prakash Ishwar

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    812 Citations (Scopus)

    Abstract

    Change detection is one of the most important lowlevel tasks in video analytics. In 2012, we introduced the changedetection.net (CDnet) benchmark, a video dataset devoted to the evalaution of change and motion detection approaches. Here, we present the latest release of the CDnet dataset, which includes 22 additional videos (70; 000 pixel-wise annotated frames) spanning 5 new categories that incorporate challenges encountered in many surveillance settings. We describe these categories in detail and provide an overview of the results of more than a dozen methods submitted to the IEEE Change DetectionWorkshop 2014. We highlight strengths and weaknesses of these methods and identify remaining issues in change detection.

    Original languageEnglish
    Title of host publicationProceedings - 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014
    PublisherIEEE Computer Society
    Pages393-400
    Number of pages8
    ISBN (Electronic)9781479943098, 9781479943098
    DOIs
    Publication statusPublished - 24 Sept 2014
    Event2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014 - Columbus, United States
    Duration: 23 Jun 201428 Jun 2014

    Publication series

    NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
    ISSN (Print)2160-7508
    ISSN (Electronic)2160-7516

    Conference

    Conference2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014
    Country/TerritoryUnited States
    CityColumbus
    Period23/06/1428/06/14

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