Catching moving objects with snakes for motion tracking
Pattern Recognition Letters
Machine Learning
Real-time quantized optimal flow
Real-Time Imaging - Special issue on computer vision motion analysis
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical Flow Constraints on Deformable Models with Applications to Face Tracking
International Journal of Computer Vision
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Segmentation and Tracking of Faces in Color Images
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Real Time Tracking and Modeling of Faces: An EKF-Based Analysis by Synthesis Approach
MPEOPLE '99 Proceedings of the IEEE International Workshop on Modelling People
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Real Time Face and Object Tracking as a Component of a Perceptual User Interface
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Fast, Reliable Head Tracking under Varying Illumination: An Approach Based on Registration of Texture-Mapped 3D Models
Efficient Real-Time Face Tracking in Wavelet Subspace
RATFG-RTS '01 Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems (RATFG-RTS'01)
Multi-Modal Face Tracking Using Bayesian Network
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
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A real-time probablistic face tracking system using monocular vision is presented based on face target acquisition and subsequent particle filtering techniques. First, the face target acquisition and initialization stage used a skin color classification and statistical face model matching approach to find the face target. Subsequently, the particle filtering technique is used to track the state space of face movements. And finally, the optical flow information was used to find motion information for sample redistibution. The system places emphasis on the automatic face target initialization stage, which has been assumed to be solved or labled manually in most other face tracking systems. Using a monocular USB camera on an Intel Pentium III 700 MHz laptop, the face detection and initialization stage is executed in less than 250 msec and the subsequent face tracking stage functions at 30 fps comfortably with 160脳120-pixel resolution live videos.