Multi-Layer Hierarchical Clustering of Pedestrian Trajectories for Automatic Counting of People in Video Sequences

Authors:
David Biliotti;Gianluca Antonini;Jean Philippe Thiran
Affiliations:
University of Siena, Italy;Swiss Federal Institute of Technology, Lausanne, CH;Swiss Federal Institute of Technology, Lausanne, CH
Venue:
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Year:
2005

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Abstract

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.