Sciweavers

Share
CVPR
2009
IEEE

Learning Trajectory Patterns by Clustering: Experimental Studies and Comparative Evaluation

13 years 7 months ago
Learning Trajectory Patterns by Clustering: Experimental Studies and Comparative Evaluation
Recently a large amount of research has been devoted to automatic activity analysis. Typically, activities have been defined by their motion characteristics and represented by trajectories. These trajectories are collected and clustered to determine typical behaviors. This paper evaluates different similarity measures and clustering methodologies to catalog their strengths and weaknesses when utilized for the trajectory learning problem. The clustering performance is measured by evaluating the correct clustering rate on different datasets with varying characteristics.
Brendan Morris, Mohan M. Trivedi
Added 09 May 2009
Updated 10 Dec 2009
Type Conference
Year 2009
Where CVPR
Authors Brendan Morris, Mohan M. Trivedi
Comments (0)
books