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CDnet 2014: An expanded change detection benchmark dataset

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

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IEEE

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.

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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

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2037-12-31
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