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In this paper, we propose abnormal behavior detection algorithms based on dense trajectories and principal components for video surveillance applications. The result shows that the proposed algorithms are faster than… Click to show full abstract
In this paper, we propose abnormal behavior detection algorithms based on dense trajectories and principal components for video surveillance applications. The result shows that the proposed algorithms are faster than an algorithm based on lengths of displacement vectors but the accuracy is only retained if the bag-of-features model is trained on a balanced sample of behavior features.
Keywords:
abnormal behavior;
behavior detection;
dense trajectories;
based dense;
detection based
Journal Title: Computer Optics
Year Published: 2018
Link to full text (if available)
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Journal Title: Computer Optics
Year Published: 2018
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!