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Communication Dans Un Congrès Année : 2014

CDnet 2014: An Expanded Change Detection Benchmark Dataset


Change detection is one of the most important low-level tasks in video analytics. In 2012, we introduced the (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 Detection Workshop 2014. We highlight strengths and weaknesses of these methods and identify remaining issues in change detection.
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hal-01018757 , version 1 (04-07-2014)


  • HAL Id : hal-01018757 , version 1


Yi Wang, Pierre-Marc Jodoin, Fatih Porikli, Janusz Konrad, Yannick Benezeth, et al.. CDnet 2014: An Expanded Change Detection Benchmark Dataset. IEEE CVPR Change Detection workshop, Jun 2014, United States. 8 p. ⟨hal-01018757⟩
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