CDnet 2014: An Expanded Change Detection Benchmark Dataset

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 incl...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops S. 393 - 400
Hauptverfasser: Yi Wang, Jodoin, Pierre-Marc, Porikli, Fatih, Konrad, Janusz, Benezeth, Yannick, Ishwar, Prakash
Format: Tagungsbericht Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.06.2014
Schlagworte:
Benchmark testing
Benchmarking
Cameras
Categories
Change detection
Conferences
Labeling
Lighting
Measurement
Motion detection
Pattern recognition
Surveillance
Tasks
Workshops
ISSN:2160-7508, 2160-7516
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
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.
AbstractList 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.
Author Yi Wang
Jodoin, Pierre-Marc
Porikli, Fatih
Benezeth, Yannick
Konrad, Janusz
Ishwar, Prakash
Author_xml – sequence: 1
  surname: Yi Wang
  fullname: Yi Wang
  organization: CREI, Univ. de Sherbrooke, Sherbrooke, QC, Canada
– sequence: 2
  givenname: Pierre-Marc
  surname: Jodoin
  fullname: Jodoin, Pierre-Marc
  organization: CREI, Univ. de Sherbrooke, Sherbrooke, QC, Canada
– sequence: 3
  givenname: Fatih
  surname: Porikli
  fullname: Porikli, Fatih
  organization: NICTA, Australian Nat. Univ., Canberra, ACT, Australia
– sequence: 4
  givenname: Janusz
  surname: Konrad
  fullname: Konrad, Janusz
  organization: ECE Dept., Boston Univ., Boston, MA, USA
– sequence: 5
  givenname: Yannick
  surname: Benezeth
  fullname: Benezeth, Yannick
  organization: Le2i, Univ. de Bourgogne, Dijon, France
– sequence: 6
  givenname: Prakash
  surname: Ishwar
  fullname: Ishwar, Prakash
  organization: ECE Dept., Boston Univ., Boston, MA, USA
BookMark eNo9jjtPAkEURkeDiYi0NjZT2izOnffQ4YKPhERjfJSb2Z27shFmkVkS-fdiMFbfKU5OvjPSi21EQi6AjQCYu87fnp7fR5yBHAHXR2TojAVpnJOCWTgmfQ6aZUaB7v0zs6dkmFJTMq6NlkqYPhnn04gd_Q2N6STS2ffax4CB5gsfP5BOscOqa9pIbzBWi5XffNKp73zC7pyc1H6ZcPi3A_J6O3vJ77P5491DPplnDZe2y5R3vNoXGSDUXAvNA_c2GFepkjPlZSid0bXREEIZpEBRWyFkkIb70govBuTq0F1v2q8tpq5YNanC5dJHbLepAG2V0cJqtVcvD2qDiMV60-z_7grtgDEA8QNub1dA
CODEN IEEPAD
ContentType Conference Proceeding
Journal Article
DBID 6IE
6IL
CBEJK
RIE
RIL
7SC
8FD
JQ2
L7M
L~C
L~D
DOI 10.1109/CVPRW.2014.126
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
Computer and Information Systems Abstracts
Technology Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
DatabaseTitle Computer and Information Systems Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Advanced Technologies Database with Aerospace
ProQuest Computer Science Collection
Computer and Information Systems Abstracts Professional
DatabaseTitleList Computer and Information Systems Abstracts
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Applied Sciences
EISBN 9781479943081
1479943088
EISSN 2160-7516
EndPage 400
ExternalDocumentID 6910011
Genre orig-research
GroupedDBID 6IE
6IF
6IL
6IN
AAJGR
AAWTH
ABLEC
ACGFS
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
M43
OCL
RIE
RIL
7SC
8FD
JQ2
L7M
L~C
L~D
ID FETCH-LOGICAL-i248t-5a92cded01e1f26362d2a8d79c5b205a4db976f761ddbd43e3f8334d472ab83a3
IEDL.DBID RIE
ISICitedReferencesCount 548
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000349552300061&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2160-7508
IngestDate Fri Jul 11 01:18:14 EDT 2025
Wed Aug 27 04:30:40 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i248t-5a92cded01e1f26362d2a8d79c5b205a4db976f761ddbd43e3f8334d472ab83a3
Notes ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
content type line 23
SourceType-Conference Papers & Proceedings-2
OpenAccessLink https://ube.hal.science/hal-01018757
PQID 1685763865
PQPubID 23500
PageCount 8
ParticipantIDs proquest_miscellaneous_1685763865
ieee_primary_6910011
PublicationCentury 2000
PublicationDate 20140601
PublicationDateYYYYMMDD 2014-06-01
PublicationDate_xml – month: 06
  year: 2014
  text: 20140601
  day: 01
PublicationDecade 2010
PublicationTitle IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops
PublicationTitleAbbrev CVPRW
PublicationYear 2014
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssib026764537
ssj0001085593
Score 2.1887138
Snippet Change detection is one of the most important lowlevel tasks in video analytics. In 2012, we introduced the changedetection.net (CDnet) benchmark, a video...
SourceID proquest
ieee
SourceType Aggregation Database
Publisher
StartPage 393
SubjectTerms Benchmark testing
Benchmarking
Cameras
Categories
Change detection
Conferences
Labeling
Lighting
Measurement
Motion detection
Pattern recognition
Surveillance
Tasks
Workshops
Title CDnet 2014: An Expanded Change Detection Benchmark Dataset
URI https://ieeexplore.ieee.org/document/6910011
https://www.proquest.com/docview/1685763865
WOSCitedRecordID wos000349552300061&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwELZKxcBUoEWUl4zEiNv4EdvpBn2IAVUVgtItcmJHVIi0alPEz8d20jLAwpblIuv8-M7n-74D4IbpMEwDIxHnUYaYURipTFMkwyBhaRQY4ln800cxHsvZLJrUwO2OC2OM8cVnpuM-_Vu-XqQblyrr8sgpBtm7zp4QvORqbdcO4YKzsIJan19xBVhec5dgHiALjLLSbMRB1O1PJ0-vrrCLdbDTVfCdVX4dxx5jRo3_je4QtH7IenCyg6EjUDP5MWhU0SWs9u66CXr9QW4K6EbTg3c5HH4tXQJZw5JgAAem8GVZOby3Fm8favUOB6qwKFe0wMto-Nx_QFXnBDQnTBYoVBFJ7R8CbHBGuAUpTZTUIkrDhAShYjqxYUgmONY60YwamklKmWaCqERSRU9APV_k5hRAJa2lkJwqollmQ3EmleKaEaYSSoK0DZrOFfGyFMeIKy-0wfXWl7FdsO4VQuVmsVnHmEt7x3GtRs_-Nj0HB84VZT3WBagXq425BPvpZzFfr678rH8DJT6oaw
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PT8IwFG4ImugJFYz4syYeHXRt13XclB_BiIQYRG5Lt3aRGAeBYfzzbbuBB7146-U1zcvbvtfX930PgBsqPS9GijuMBYlDlXAdkUjicA9FNA6QwpbFPxn4wyGfToNRCdxuuTBKKdt8phpmad_y5Txem1JZkwVGMUjfdXY8SjHK2Vqb6MHMZ9QrwNZWWEwLllXdxS5DjoZGXqg2uihotiej51fT2kUbrlFWsLNVfv2QLcr0Kv873wGo_dD14GgLRIegpNIjUCnyS1h8vasqaLU7qcqgOU0L3qWw-7UwJWQJc4oB7KjMNmal8F5bvH2I5TvsiEzjXFYDL73uuN13itkJzgxTnjmeCHCsd0CuchPMNExJLLj0g9iLMPIElZFORBKfuVJGkhJFEk4IldTHIuJEkGNQTuepOgFQcG3pc0YEljTRyTjlQjBJMRURwSiug6pxRbjI5THCwgt1cL3xZahD1rxDiFTN16vQZVzfcsyw0dO_Ta_AXn_8NAgHD8PHM7Bv3JJ3Z52DcrZcqwuwG39ms9Xy0kbANxtLq7I
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=IEEE+Computer+Society+Conference+on+Computer+Vision+and+Pattern+Recognition+workshops&rft.atitle=CDnet+2014%3A+An+Expanded+Change+Detection+Benchmark+Dataset&rft.au=Yi+Wang&rft.au=Jodoin%2C+Pierre-Marc&rft.au=Porikli%2C+Fatih&rft.au=Konrad%2C+Janusz&rft.date=2014-06-01&rft.pub=IEEE&rft.issn=2160-7508&rft.spage=393&rft.epage=400&rft_id=info:doi/10.1109%2FCVPRW.2014.126&rft.externalDocID=6910011
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2160-7508&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2160-7508&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2160-7508&client=summon