Crowd Counting Using Group Tracking and Local Features

  title={Crowd Counting Using Group Tracking and Local Features},
  author={David Ryan and Simon Denman and Clinton Fookes and Sridha Sridharan},
  journal={2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance},
In public venues, crowd size is a key indicator of crowdsafety and stability. In this paper we propose a crowd count-ing algorithm that uses tracking and local features to countthe number of people in each group as represented by a fore-ground blob segment, so that the total crowd estimate is thesum of the group sizes. Tracking is employed to improve therobustness of the estimate, by analysing the history of eachgroup, including splitting and merging events. A simpli-fied ground truth… CONTINUE READING
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