Nickels and Hutchinson : Model - Based Tracking 101

Nickels and Hutchinson : Model - Based Tracking

Weighting Observations: The Use of Kinematic Models in Object Tracking

We describe a model-based object tracking system that updates the configuration parameters of an object model based upon information gathered from a sequence of monocular images. Realistic object and imaging models are used to determine the expected visibility of object features, and to determine the expected appearance of all visible features. We formulate the tracking problem as one of parame...

Weighting Observations : The use of Kinematic Models in Object

We describe a model-based object tracking system that updates the connguration parameters of an object model based upon information gathered from a sequence of monocular images. Realistic object and imaging models are used to determine the expected visibility of object features, and to determine the expected appearance of all visible features. We formulate the tracking problem as one of paramet...

Integrated Object Models for Robust Visual Tracking

The robustness of visual tracking, or following the movement of objects in images, can be improved with an explicit model for the objects being tracked. In this paper, we investigate the use of an object model in this way. An object geometric model can tell us what feature movements to expect, and what those movements reveal about object motion. We characterize the tracking problem as one of pa...

Model-based tracking of complex articulated objects

In this paper, we present methods for tracking complex, articulated objects. We assume that an appearance model and the kinematic structure of the object to be tracked are given, leading to what is termed a model-based object tracker. At each time step, this tracker observes a new monocular grayscale image of the scene and combines information gathered from this image with knowledge of the prev...