Results 1 -
3 of
3
Real-time closed-world tracking, in
- Proc. IEEE CVPR
, 1997
"... Areal-time tracking algorithm that uses contextual information is described. The method iscapable of simultaneously tracking multiple, non-rigid objects when erratic movement and object collisions are common. A closed-world assumption is used to adaptively select and weight image features used for c ..."
Abstract
-
Cited by 101 (8 self)
- Add to MetaCart
(Show Context)
Areal-time tracking algorithm that uses contextual information is described. The method iscapable of simultaneously tracking multiple, non-rigid objects when erratic movement and object collisions are common. A closed-world assumption is used to adaptively select and weight image features used for correspondence. Results of algorithm testing and the limitations of the method are discussed. The algorithm has been used to track children in an interactive, narrative playspace. 1
Visual Tracking Using Closed-Worlds
- In Proceedings of International Conference on Computer Vision
, 1995
"... A new approach to tracking weakly modeled objects in a semantically rich domain is presented. We refer to our method as closed-world tracking. A closed-world is a space-time region of an image sequence in which the complete taxonomy of objects is known and in which all pixels can be explained as bel ..."
Abstract
-
Cited by 33 (0 self)
- Add to MetaCart
(Show Context)
A new approach to tracking weakly modeled objects in a semantically rich domain is presented. We refer to our method as closed-world tracking. A closed-world is a space-time region of an image sequence in which the complete taxonomy of objects is known and in which all pixels can be explained as belonging to one of those objects. Given object information (and additional contextual information if available) context-specific features can be dynamically selected as the basis for tracking. A context-specific feature is one that has been chosen based upon the context to maximize the chance of successful tracking between frames. Our work is motivated by the goal of video annotation -- the semi-automatic generation of symbolic descriptions of action taking place in a dynamic scene. Common tracking techniques such as correlation, adaptive-templates, and deformable models typically fail in situations where it is difficult to syntactically isolate an object (e.g. background subtraction), where t...
Tracking Using a Local Closed-World Assumption: Tracking in the Football Domain
- Proc. SPIE Storage and Retrieval for Image and Video Databases
, 1994
"... In this work we address the problem of tracking objects in a complex, dynamic scene. The objects are nonrigid and difficult to model geometrically. Their motion is erratic and they change shape rapidly between frames sampled at 30 frames per second. The objects have low spatial resolution, and the v ..."
Abstract
-
Cited by 24 (0 self)
- Add to MetaCart
(Show Context)
In this work we address the problem of tracking objects in a complex, dynamic scene. The objects are nonrigid and difficult to model geometrically. Their motion is erratic and they change shape rapidly between frames sampled at 30 frames per second. The objects have low spatial resolution, and the video used for tracking was taken with a panning and zooming camera. Finally, the objects are tracked in sequences up to eight seconds long while moving over a complex background. We suggest that conventional tracking methods are unlikely to perform well at tracking small objects in complex environments because they do not use contextual information to drive feature selection. We propose using "closed-world" analysis to incorporate contextual knowledge into low-level tracking. A closed-world is a space-time region of an image where contextual information like the number and type of objects within the region is assumed to be known. Given that knowledge, the region can be analyzed locally using...
