Adaptive probabilistic visual tracking with incremental subspace update
US7463754B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2004 |
| Grant date | Dec 9, 2008 |
| Priority date | — |
| Expiry date | Feb 21, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/7557
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and a method are disclosed for adaptive probabilistic tracking of an object within a motion video. The method utilizes a time-varying Eigenbasis and dynamic, observation and inference models. The Eigenbasis serves as a model of the target object. The dynamic model represents the motion of the object and defines possible locations of the target based upon previous locations. The observation model provides a measure of the distance of an observation of the object relative to the current Eigenbasis. The inference model predicts the most likely location of the object based upon past and present observations. The method is effective with or without training samples. A computer-based system provides a means for implementing the method. The effectiveness of the system and method are demonstrated through simulation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.