A New Semantic and Statistical Distance-Based Anomaly Detection in Crowd Video Surveillance

Recently, attention toward autonomous surveillance has been intensified and anomaly detection in crowded scenes is one of those significant surveillance tasks. Traditional approaches include the extraction of handcrafted features that need the subsequent task of model learning. They are mostly used...

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