Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2008, Pages

  Eibl, Günther ^a   Br̈andle, Norbert ^a  

^a ARSENAL RESEARCH   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; IMAGE SEGMENTATION; OPTICAL FLOWS; PATTERN RECOGNITION; SECURITY SYSTEMS;

AUTOMATED SURVEILLANCE; AUTOMATIC ANALYSIS; CLUSTERING METHODS; GROUND TRUTH CLUSTERING; OBSERVATION PERIOD; OPTICAL FLOW ALGORITHM; SPECTRAL CLUSTERING; TUNING OF PARAMETERS;

K-MEANS CLUSTERING;

EID: 77957968783     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761911     Document Type: Conference Paper

References (8)

1. S. Ali and M. Shah. A Lagrangian Particle Dynamics Approach for Crowd Flow Simulation and Stability Analysis. In Proceedings CVPR, 2007.
2. E. Andrade, S. Blunsden, and R. Fisher. Modelling Crowd Scenes for Event Detection. In Proceedings ICPR, 2006.
3. H. Li and I.-F. Shen. Similarity Measure for Vector Field Learning. In Advances in Neural Networks - ISNN (1), pages 436-441. Springer Berlin/Heidelberg, 2006.
4. Z. Lu and M. Carreira-Perpinan. Constrained Spectral Clustering through Affinity Propagation. In Proceedings CVPR, 2008.
5. J. Tenenbaum, V. de Silva, and J. Langford. A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science, 290:2319-2323, 2000.
6. J. Wright and R. Pless. Analysis of Persistent Motion Patterns Using the 3D Structure Tensor. In WACV/MOTION, 2005.
7. C. Zach, T. Pock, and H. Bischof. A Duality Based Approach for Realtime TV-L1 Optical Flow. In Proc. 29th DAGM Symposium on Pattern Recognition, 2007.
8. L. Zelnik-Manor and P. Perona. Self-Tuning Spectral Clustering. In Adv. Neural Inf. Process. Syst., pages 1601-1608, 2004.