Multi-modal anomaly detection by using audio and visual cues

HIGHLIGHTS

  • who: Using Audio and colleagues from the of Electrical Engineering, University of Engineering Technology at Lahore, Lahore, Pakistan of Electronic Systems Engineering, University of Regina, Regina, SK S S , Canada have published the article: Multi-Modal Anomaly Detection by Using Audio and Visual Cues, in the Journal: (JOURNAL)
  • what: Automatic crowd behaviour analysis has become an emerging field in computer vision applications. The research work presented uses Hidden Markov Model (HMM) for scene categorisation to decide anomaly behaviour. This research work proposes a novel framework for anomaly detection by using multiple modalities. A multimodal anomaly . . .

     

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