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
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
Statistical Learning of Multi-view Face Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
IEEE Transactions on Pattern Analysis and Machine Intelligence
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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)
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
The Extension of Statistical Face Detection to Face Tracking
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
Adaptive object tracking using bayesian network and memory
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Computer Vision and Image Understanding
Robust Face Tracking with Suppressed False Positives in Smart Home Environment
ICOST '08 Proceedings of the 6th international conference on Smart Homes and Health Telematics
Multi-modal face tracking in multi-camera environments
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Robust facial landmark detection for intelligent vehicle system
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
A dynamic bayesian network-based framework for visual tracking
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Visual Focus of Attention in Non-calibrated Environments using Gaze Estimation
International Journal of Computer Vision
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This paper presents a Bayesian network based multi-modalfusionmethod for robust and real-time face tracking. The Bayesian networkintegrates a prior of second order system dynamics, and thelikelihood cues from color, edge and face appearance. Whiledifferent modalities have different confidence scales, we encodethe environmental factors related to the confidences of modalitiesinto the Bayesian network, and develop a Fisher discriminantanalysis method for learning optimal fusion. The face tracker maytrack multiple faces under different poses. It is made up of twostages. First hypotheses are efficiently generated using acoarse-to-fine strategy; then multiple modalities are integrated inthe Bayesian network to evaluate the posterior of each hypothesis.The hypothesis that maximizes a posterior(MAP) is selected as theestimate of the object state. Experimental results demonstrate therobustness andreal-time performance of our face tracking approach.