Slim Abdelhedi

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This paper presents a new video surveillance system called KVSS using background based on Type-2 Fuzzy Gaussian Mixture Models (T2 FGMMs). These techniques are used for resolving some limitations on Gaussian Mixture Models (GMMs) techniques on critical situations like moved camera jitter, illumination changes and objects being introduced or removed from the(More)
Human Action Recognition methods have prospered during the last decade. They seek to automatically analyze ongoing activities in different camera views by using machine-learning algorithms in video sequences. Various human action recognition methods match local features and global features using action class labels in which abundant visual spatio-temporal(More)
Automated vision inspection has become a vital part of the quality monitoring process. This paper compares the development and performance of two methodologies for a machine vision inspection system online for high speed conveyor. The first method developed is the Thresholding technique image processing algorithms and the second method is based on the edge(More)
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