Video surveillance system configured to analyze complex behaviors using alternating layers of clustering and sequencing
US8170283B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 17, 2009 |
| Grant date | May 1, 2012 |
| Priority date | — |
| Expiry date | Nov 5, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/52
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed for a video surveillance system to learn to recognize complex behaviors by analyzing pixel data using alternating layers of clustering and sequencing. A video surveillance system may be configured to observe a scene (as depicted in a sequence of video frames) and, over time, develop hierarchies of concepts including classes of objects, actions and behaviors. That is, the video surveillance system may develop models at progressively more complex levels of abstraction used to identify what events and behaviors are common and which are unusual. When the models have matured, the video surveillance system issues alerts on unusual events.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.