Facial Recognition & Vehicle Logo Super-Resolution System
- Technology Benefits
- Extracts multiple images, in any configuration, and aligns them for a frontal view template Classifies features of an image to an emotion type Super-resolves vehicle maker’s logos to facilitate recognition of a vehicle make
- Technology Application
- Substitute current security and surveillance systems
- Detailed Technology Description
- None
- Application No.
- 9928406
- Others
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Images
Wikimedia Commons / https://commons.wikimedia.org/wiki/File:Surveillance_Camera_over_the_Platform_of_Train.jpg
Wikimedia Commons / https://commons.wikimedia.org/wiki/File:Atta_in_airport.jpg
Tech ID/UC Case
25272/2012-885-2
Related Cases
2012-885-2
- *Abstract
-
Background:
The video surveillance market is projected to grow annually at 17% and reach $42B by 2020. Video surveillance is a popular tool to track and monitor movement of people and vehicles to provide protection and discover information for investigations. Current technologies are competent in capturing images but not with high definition. Therefore, a more advanced security system that is smarter and multidimensional is needed.
Brief Description:
UCR Researchers have developed a novel method and system for unified face representation for individual recognition in surveillance videos along with vehicle recognition. They extracted facial images from a video, generated an emotion avatar image (EAI) and computed features using their innovative algorithms. Low-resolution vehicle images can also be enhanced by using their super-resolution algorithms to produce high-resolution images. Existing technologies can only take frontal images but this new technology can handle out-of-plane, rotated images.
- *Applications
-
- Substitute current security and surveillance systems
- *IP Issue Date
- Mar 27, 2018
- *Principal Investigator
-
Name: Le An
Department:
Name: Bir Bhanu
Department:
Name: Ninad Thakoor
Department:
- Country/Region
- USA
