Probabilistic neural network based moving object detection method and an apparatus using the same
US9159137B2 · kind B2 · utility
8Cited by
3References
18Claims
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Key dates
| Filing date | Oct 14, 2013 |
| Grant date | Oct 13, 2015 |
| Priority date | — |
| Expiry date | Jan 21, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30236
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure proposes a method of moving object detection in variable bit-rate video steams based on probabilistic neural networks, and the method features a background generation module and a moving object detection module. The background generation module produces a model of background images which express properties of variable bit-rate video streams. The moving object detection module distinguishes a moving object in both low and high bit-rate video steams in an efficient manner. The detection result is generated by calculating the output value of the probabilistic neural networks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.