Name
Title | ||
|---|---|---|
Multi-Layer Hierarchical Clustering of Pedestrian Trajectories for Automatic Counting of People in Video Sequences |
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ACVMOT.2005.77 | WACV/MOTION |
Keywords | Field | DocType |
data engineering,tracking system,hierarchical clustering,layout,tracking,multidimensional signal processing,clustering algorithms,trajectory,gaussian distribution | Hierarchical clustering,Black box (phreaking),Computer vision,Object detection,Pattern recognition,Computer science,Tracking system,Information engineering,Artificial intelligence,Cluster analysis,Trajectory,Distance measures | Conference |
Volume | ISBN | Citations |
2 | 0-7695-2271-8-2 | 19 |
PageRank | References | Authors |
1.88 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Biliotti | 1 | 19 | 1.88 |
| Gianluca Antonini | 2 | 192 | 13.67 |
| Jean Philippe Thiran | 3 | 77 | 6.74 |