Method and apparatus for machine vision classification and tracking
US5761326A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Apr 27, 1995 |
| Grant date | Jun 2, 1998 |
| Priority date | — |
| Expiry date | Apr 27, 2015 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S706/905
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus for classification and tracking objects in three-dimensional space is described. A machine vision system acquires images from roadway scenes and processes the images by analyzing the intensities of edge elements within the image. The system then applies fuzzy set theory to the location and angles of each pixel after the pixel intensities have been characterized by vectors. A neural network interprets the data created by the fuzzy set operators and classifies objects within the roadway scene. The system can also track objects within the roadway scene, such as vehicles, by forecasting potential track regions and then calculating match scores for each potential track region based on how well the edge elements from the target track regions match those from the source region as weighted by the extent the edge elements have moved.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.