Title :
Fast and robust face detection and tracking framework
Author :
Paliy, Ihor ; Dovgan, Volodymyr ; Boumbarov, Ognian ; Panev, Stanislav ; Sachenko, Anatoly ; Kurylyak, Yuriy ; Zagorodnya, Diana
Author_Institution :
Res. Inst. of Intell. Comput. Syst., Ternopil Nat. Econ. Univ., Ternopil, Ukraine
Abstract :
Face detection and tracking framework is described in the paper. Face detection is based on combined cascade of neural network-classifiers. Tracking is performed using Kalman filter. The framework was experimentally researched on a test video sequence and adjusted to obtain high processing speed.
Keywords :
Kalman filters; face recognition; image sequences; neural nets; pattern classification; Kalman filter; face tracking framework; neural network classifiers; robust face detection; test video sequence; Biological neural networks; Face; Face detection; Kalman filters; Support vector machines; Tracking; Kalman filter; combined cascade of neural network-classifiers; convolutional neural network; face detection; face tracking;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-1426-9
DOI :
10.1109/IDAACS.2011.6072790
