Sciweavers

Share
IVC
2006

People tracking in surveillance applications

12 years 5 months ago
People tracking in surveillance applications
This paper presents a real-time algorithm that allows robust tracking of multiple objects in complex environments. Foreground pixels are detected using luminance contrast and grouped into blobs. Blobs from two consecutive frames are matched creating the matching matrices. Tracking is performed using direct and inverse matching matrices. This method successfully solves blobs merging and splitting. Results from indoor and outdoor scenarios are shown.
Luis M. Fuentes, Sergio A. Velastin
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where IVC
Authors Luis M. Fuentes, Sergio A. Velastin
Comments (0)
books