Comparative study of background subtraction algorithms
نویسندگان
چکیده
منابع مشابه
Comparative study of background subtraction algorithms
In this paper, we present a comparative study of several state of the art background subtraction methods. Approaches ranging from simple background subtraction with global thresholding to more sophisticated statistical methods have been implemented and tested on different videos with ground truth. The goal of this study is to provide a solid analytic ground to underscore the strengths and weakn...
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Background subtraction methods are widely exploited for moving object detection in videos in many computer vision applications, such as traffic monitoring, human motion capture and video surveillance. The two most distinguishing and challenging aspects of such approaches in this application field are how to build correctly and efficiently the background model and how to prevent the false detect...
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In this paper we look at the problem which is the background subtraction algorithms when dealing with complex, or real-world, background, as background subtraction is a vital step for Computer Vision. We will be measuring the effectiveness of each background subtraction algorithm of handling a real-world scene and subtracting the unwanted background elements as well as the time taken to complet...
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ژورنال
عنوان ژورنال: Journal of Electronic Imaging
سال: 2010
ISSN: 1017-9909
DOI: 10.1117/1.3456695