Fast and robust face detection and tracking framework
- Resource Type
- Conference
- Authors
- Paliy, Ihor; Dovgan, Volodymyr; Boumbarov, Ognian; Panev, Stanislav; Sachenko, Anatoly; Kurylyak, Yuriy; Zagorodnya, Diana
- Source
- Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on. 1:430-434 Sep, 2011
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Face
Face detection
Kalman filters
Tracking
Biological neural networks
Support vector machines
face detection
face tracking
combined cascade of neural network-classifiers
convolutional neural network
Kalman filter
- Language
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.