Multi-layer hierarchical clustering of pedestrian trajectories for automatic counting of people in video sequences

In this paper we propose an approach to count the number of pedestrians, given a trajectory data set provided by a tracking system. The tracking process itself is treated as a black box providing us the input data. The idea is to apply a hierarchical clustering algorithm, using different data representations and distance measures, as a post-processing step. The final goal is to reduce the difference between the number of tracked pedestrians and the real number of individuals present in the scene.


Published in:
IEEE Motion 2005
Year:
2005
Publisher:
IEEE
Keywords:
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 Record created 2006-06-14, last modified 2018-03-17

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