Probabilistic Modeling of Scene Dynamics for Applications in Visual Surveillance

  title={Probabilistic Modeling of Scene Dynamics for Applications in Visual Surveillance},
  author={Imran Saleemi and Khurram Shafique and Mubarak Shah},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
We propose a novel method to model and learn the scene activity, observed by a static camera. The proposed model is very general and can be applied for solution of a variety of problems. The motion patterns of objects in the scene are modeled in the form of a multivariate nonparametric probability density function of spatiotemporal variables (object locations and transition times between them). Kernel Density Estimation is used to learn this model in a completely unsupervised fashion. Learning… CONTINUE READING
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