System and method for detecting still objects in images
US7853072B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 19, 2007 |
| Grant date | Dec 14, 2010 |
| Priority date | — |
| Expiry date | Oct 12, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides an improved system and method for object detection with histogram of oriented gradient (HOG) based support vector machine (SVM). Specifically, the system provides a computational framework to stably detect still or not moving objects over a wide range of viewpoints. The framework includes providing a sensor input of images which are received by the “focus of attention” mechanism to identify the regions in the image that potentially contain the target objects. These regions are further computed to generate hypothesized objects, specifically generating selected regions containing the target object hypothesis with respect to their positions. Thereafter, these selected regions are verified by an extended HOG-based SVM classifier to generate the detected objects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.