|
|
|
|
|
TOKYO, Feb 8, 2019 - (JCN Newswire) - NEC Corporation (TSE: 6701) today announced the development of a "Person Re-identification Technology" that is capable of matching images of people whose figures are partially hidden from cameras, even if the image is taken from behind or from the side.
This technology analyzes the entire appearance of a person's photo image, such as their clothes and body shape, to determine whether they match with other images of people. Using the image analysis and deep learning technologies that NEC has cultivated through Facial Recognition Technology and other technologies, NEC was able to establish this high-precision technology that does not rely solely on facial images.
In many cases, Facial Recognition Technology alone may not be enough to match a person whose face is partially concealed. Conventionally, once a person was matched using Facial Recognition Technology, the appearance of that person could then be collected from images taken by multiple cameras. However, when there were many people and objects in an area, such as chairs and counters, people appearing in images of those areas cannot be fully scene, making it difficult to match them.
This technology enables a wide range of people to be recognized, even in places where there are many people or visual obstructions that prevent a person's face or body from being fully seen.
Potential applications for this technology include security support in large-scale facilities with many people or visually blocked areas, as well as assistance in the search for lost children.
"NEC has a large portfolio of world-class biometrics certification technologies that include facial and fingerprint recognition(1)," said Masayuki Mizuno, general manager, Biometrics Research Laboratories, NEC Corporation. "We are now expanding this portfolio within our NEC Safer Cities(2) solutions, our NeoFace facial recognition AI-engine that boasts the world's No.1(3) accuracy, and NEC's advanced video analyzer."
Main features of this technology include the following:
1. Even persons who are not fully visible to a camera can be matched
NEC's unique ingenuity in deep learning technology is used to match a person's image by automatically selecting other parts of thier image when there is overlap between multiple people, such as in crowded or shaded environments where a person's full image cannot be viewed. The matching rate for a person is as high as 90%(4).
http://www.acnnewswire.com/topimg/Low_MatchingofthePerson.jpg
2. Matching is possible with images taken from behind or from the side
Effective use of deep learning techniques can match people from numerous angles, such as from behind or from the side, and shot with multiple cameras. As a result, this technology can effectively match people using camera images where the face is not visible.
http://www.acnnewswire.com/topimg/Low_MatchingisPossible.jpg
(1) Biometric Authentication: Products and Solutions
https://www.nec.com/en/global/solutions/biometrics/index.html
(2) NEC Safer Cities:
https://www.nec.com/en/global/solutions/safercities/index.html
(3) NEC's Video Face Recognition Technology Ranks First in NIST Testing
https://www.nec.com/en/press/201703/global_20170316_01.html
NEC's Fingerprint Identification Technology Ranks First Again in NIST Testing
https://www.nec.com/en/press/201503/global_20150309_01.html
NEC Iris Recognition Technology Ranks First in NIST Accuracy Testing
https://www.nec.com/en/press/201804/global_20180427_02.html
(4) In-house evaluation based on public databases
Contact:
NEC
Seiichiro Toda
s-toda@cj.jp.nec.com
+81-3-3798-6511
Topic: Press release summary
Source: NEC Corporation
Sectors: CyberSecurity
http://www.acnnewswire.com
From the Asia Corporate News Network
Copyright © 2025 ACN Newswire. All rights reserved. A division of Asia Corporate News Network.
|
|
|
|
|
|
|
| NEC Corporation |
| Sept 30, 2025 18:52 HKT/SGT |
|
Ouribank Signs Agreement with NEC to Implement AI-Native Data Center and Campus Network from HPE Juniper Networking for Enhanced Operational Efficiency |
| Sept 29, 2025 15:24 HKT/SGT |
|
NEC Releases Third Edition of TNFD Report |
| Sept 26, 2025 20:20 HKT/SGT |
|
NEC Launches 25Gb/s SFP28 Bi-directional Optical Transceiver Capable of 80km Transmission |
| Sept 24, 2025 13:43 HKT/SGT |
|
Meta, SoftBank Corp., IPS, TM, XLSmart, and NEC to build the Candle Submarine Cable System, Intra Asia, 24-Fiber Pair Optical Submarine Cable, Connecting Japan to Singapore |
| Sept 19, 2025 18:00 HKT/SGT |
|
MOTER Technologies and NEC Form Strategic Capital Alliance to Advance the Future of Mobility Through Digital Innovation |
| Sept 16, 2025 13:00 HKT/SGT |
|
NEC Publishes ESG Initiatives Supporting Sustainable Growth of Companies and Society in "ESG Databook 2025" |
| Sept 12, 2025 14:08 HKT/SGT |
|
The University of Osaka D3 Center Commences Operation of New Computing and Data Infrastructure Built by NEC |
| Sept 5, 2025 10:20 HKT/SGT |
|
NEC participates in Locked Shields 2025 hosted by the NATO Cooperative Cyber Defence Centre of Excellence |
| Sept 4, 2025 10:15 HKT/SGT |
|
NEC to begin proof of concept for early earthquake detection and analysis in Colombia |
| Aug 27, 2025 21:57 HKT/SGT |
|
NEC develops AI technology for digitalizing work tasks without the need for pre-training and utilizing video from multiple cameras covering wide area worksites |
| More news >> |
 |
|
|
|
