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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Vydané v:IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops s. 393 - 400
Hlavní autori: Yi Wang, Jodoin, Pierre-Marc, Porikli, Fatih, Konrad, Janusz, Benezeth, Yannick, Ishwar, Prakash
Médium: Konferenčný príspevok.. Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 01.06.2014
Predmet:
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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Shrnutí: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.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
content type line 23
SourceType-Conference Papers & Proceedings-2
ISSN:2160-7508
2160-7516
DOI:10.1109/CVPRW.2014.126