Detecting and localizing multiple objects in images using probabilistic inference
US8953888B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 10, 2011 |
| Grant date | Feb 10, 2015 |
| Priority date | — |
| Expiry date | Sep 27, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/757
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An object detection system is disclosed herein. The object detection system allows detection of one or more objects of interest using a probabilistic model. The probabilistic model may include voting elements usable to determine which hypotheses for locations of objects are probabilistically valid. The object detection system may apply an optimization algorithm such as a simple greedy algorithm to find hypotheses that optimize or maximize a posterior probability or log-posterior of the probabilistic model or a hypothesis receiving a maximal probabilistic vote from the voting elements in a respective iteration of the algorithm. Locations of detected objects may then be ascertained based on the found hypotheses.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.