Title :
Particle filtering in multilevel color context for face detection and tracking in real-time video sequences
Author :
Lukasz Stasiak;Andrzej Pacut
Author_Institution :
Warsaw University of Technology, Institute of Control and Computation Engineering, ul. Nowowiejska 15/19, 00-665, Poland
Abstract :
A system for parallel face detection, tracking and recognition in real-time video sequences is being developed. The paper describes its face detection and tracking modules. The solution is based on the particle filtering in the Conditional Density Propagation framework of Isard and Blake and utilizes color information at different levels of detail. The use of color makes processing computationally cheap and robust in finding candidates for further processing.
Keywords :
"Filtering","Face detection","Particle tracking","Video sequences","Particle filters","Access control","Biometrics","Face recognition","History","Surveillance"
Conference_Titel :
Security Technology, 2008. ICCST 2008. 42nd Annual IEEE International Carnahan Conference on
Print_ISBN :
978-1-4244-1816-9
Electronic_ISBN :
2153-0742
DOI :
10.1109/CCST.2008.4751304
