Tracking and data association
Active vision
Model-based object tracking in monocular image sequences of road traffic scenes
International Journal of Computer Vision
Learning flexible models from image sequences
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
An Active Testing Model for Tracking Roads in Satellite Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pose and structure recovery using active models
BMVC '95 Proceedings of the 1995 British conference on Machine vision (Vol. 1)
Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D pose estimation by fitting image gradients directly to polyhedral models
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Iris Tracking with Feature Free Contours
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
International Journal of Computer Vision
Steps toward a cognitive vision system
AI Magazine
Computer Vision and Image Understanding - Special issue on eye detection and tracking
A Framework for Model-Based Tracking Experiments in Image Sequences
International Journal of Computer Vision
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity
Image and Vision Computing
Initialization of Model-Based Vehicle Tracking in Video Sequences of Inner-City Intersections
International Journal of Computer Vision
Computer Vision and Image Understanding - Special issue on eye detection and tracking
Contour tracking based on marginalized likelihood ratios
Image and Vision Computing
Tracking of vehicle trajectory by combining a camera and a laser rangefinder
Machine Vision and Applications
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Radial symmetry guided particle filter for robust iris tracking
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Comparison of edge-driven algorithms for model-based motion estimation
SCVMA'04 Proceedings of the First international conference on Spatial Coherence for Visual Motion Analysis
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A novel active-contour method is presented and applied to pose refinement and tracking. The main innovation is that no "features" are detected at any stage: contours are simply assumed to remove statistical dependencies between pixels on opposite sides of the contour. This assumption, together with a simple model of shape variability of the geometric models, leads to the application of an EM method for maximizing the likelihood of pose parameters. In addition, a dynamical model of the system leads to the application of a Kalman filter. The method is demonstrated by tracking motor vehicles with 3-D models.