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...

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Vydáno v:IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops s. 393 - 400
Hlavní autoři: Yi Wang, Jodoin, Pierre-Marc, Porikli, Fatih, Konrad, Janusz, Benezeth, Yannick, Ishwar, Prakash
Médium: Konferenční příspěvek Journal Article
Jazyk:angličtina
Vydáno: IEEE 01.06.2014
Témata:
Benchmark testing
Benchmarking
Cameras
Categories
Change detection
Conferences
Labeling
Lighting
Measurement
Motion detection
Pattern recognition
Surveillance
Tasks
Workshops
ISSN:2160-7508, 2160-7516
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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
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  fullname: Jodoin, Pierre-Marc
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  organization: NICTA, Australian Nat. Univ., Canberra, ACT, Australia
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  surname: Benezeth
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  givenname: Prakash
  surname: Ishwar
  fullname: Ishwar, Prakash
  organization: ECE Dept., Boston Univ., Boston, MA, USA
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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...
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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
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