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Author/Affiliation: Mohamed KesraouiOpen AccessArticle
8 Pages, 1,522 KB 
Dynamic detection of abnormalities in video analysis of crowd behavior with DBSCAN and neural networks
Abstract:
Visual analysis of human behavior is a broad field within computer vision. In this field of work, we are interested in dynamic methods in the analysis of crowd behavior which consist in detecting the abnormal entities in a group in a dense scene. These scenes are characterized by the presence of a great number of…
Read More(This article belongs to the Special issue on Recent Advances in Electrical and Electronics Engineering 2016 & Section Artificial Intelligence in Computer Science (CAI))