Classification of abnormal crowd behavior using image processing and state machines

@inproceedings{Ng2015ClassificationOA,
  title={Classification of abnormal crowd behavior using image processing and state machines},
  author={Tze Jia Ng},
  year={2015}
}
The study of crowd behavior in public areas or during public events such as subway station, airport and shopping mall had been started two decades ago. In this thesis, an automated video surveillance to detect abnormal activities in a crowd using the concept of state machine is proposed. This method is divided into three stages which are pre-processing, feature extraction and behaviour classification. In preprocessing, frame differencing is used for segmentation while optical flow is performed… CONTINUE READING