Title :
Face detection and tracking with an active camera
Author :
Petrov, Plamen ; Boumbarov, Ognian ; Muratovski, Krasimir
Author_Institution :
Fac. of Mech. Eng, Tech. Univ. of Sofia, Sofia
Abstract :
This paper consider the problem of face detection and tracking with an active camera. An algorithm using the mean-shift method for face detection has been presented. We propose an algorithm that provides automated control of a pan-tilt camera (PTC) to follow a personpsilas face and keep his image centered in the camera view. An error vector defined in the image plane and representing the face offset with respect to the center of the image is used for camera control. Adaptive feedback control design and stability analysis are performed via Lyapunov techniques. Simulation results are presented to illustrate the effectiveness of the proposed algorithms.
Keywords :
Lyapunov methods; adaptive control; cameras; face recognition; feedback; stability; tracking; Lyapunov techniques; active camera; face detection; face tracking; feedback control design; mean-shift method; pan-tilt camera; stability analysis; Adaptive control; Automatic control; Error correction; Face detection; Feedback control; Programmable control; Smart cameras; Stability analysis; Surveillance; Tracking; Face detection; active camera control; face tracking; mean shift;
Conference_Titel :
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location :
Varna
Print_ISBN :
978-1-4244-1739-1
Electronic_ISBN :
978-1-4244-1740-7
DOI :
10.1109/IS.2008.4670528