System for object detection and recognition in videos using stabilization
US8885887B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 23, 2013 |
| Grant date | Nov 11, 2014 |
| Priority date | — |
| Expiry date | May 10, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20016
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is a system for stabilizing, detecting, and recognizing objects in video captured from a mobile platform. The system first receives a video (with a plurality of image frames) captured from a mobile platform. The video is stabilized by registering the image frames to a global coordinate system to generate stabilized image frames. A bio-inspired attention algorithm is applied to the stabilized image frames to produce a set of locations in the stabilized image frames that are salient points representative of an object of interest. An image chip is generated that surrounds each salient point. High-dimensional feature vectors are extracted from the image chip. The feature vectors are then classified as an object class. Thus, through classifying the feature vectors, an object of interest can be identified in the video as captured from the mobile platform.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.