Predicting human activities using spatio-temporal structure of interest points

@inproceedings{Yu2012PredictingHA,
  title={Predicting human activities using spatio-temporal structure of interest points},
  author={Gang Yu and Junsong Yuan and Zicheng Liu},
  booktitle={ACM Multimedia},
  year={2012}
}
Early recognition and prediction of human activities are of great importance in video surveillance, e.g., by recognizing a criminal activity at its beginning stage, it is possible to avoid unfortunate outcomes. We address early activity recognition by developing a Spatial-Temporal Implicit Shape Model (STISM), which characterizes the space-time structure of the sparse local features extracted from a video. The early recognition of human activities is accomplished by pattern matching through… CONTINUE READING
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