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.

• Type: Conference
• Year: 2005
• Where: WACV
• Authors: David Biliotti, Gianluca Antonini, Jean-Philippe Thiran
• Keywords: Hierarchical Clustering Algorithm, Tracking System, Trajectory Data, WACV 2005