Real-time crowd density estimation from video
US7457436B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 10, 2006 |
| Grant date | Nov 25, 2008 |
| Priority date | — |
| Expiry date | Oct 10, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/53
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for automated and/or semi-automated analysis of video for discerning patterns of interest in video streams. In a preferred embodiment, the present invention is directed to identifying patterns of interest in indoor settings. In one aspect, the present invention deals with the change detection problem using a Markov Random Field approach where information from different sources are naturally combined with additional constraints to provide the final detection map. A slight modification is made of the regularity term within the MRF model that accounts for real-discontinuities in the observed data. The defined objective function is implemented in a multi-scale framework that decreases the computational cost and the risk of convergence to local minima. To achieve real-time performance, fast deterministic relaxation algorithms are used to perform the minimization. The crowdedness measure used is a geometric measure of occupancy that is quasi-invariant to objects translating on the platform.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.