Reinforcement of Keypoint Matching by Co-segmentation in Object Retrieval: Face Recognition Case Study

2012 ◽  
pp. 34-41
Author(s):  
Andrzej Śluzek ◽  
Mariusz Paradowski ◽  
Duanduan Yang
Keyword(s):  
Face Recognition ◽  
Object Retrieval ◽  
Keypoint Matching

Indoor and Outdoor Face Recognition for Social Robot, Sanbot Robot as Case Study

2020 ◽  
Author(s):  
Erfan Ashtari ◽  
Mohammad Amin Basiri ◽  
Saeid Mohammadi Nejati ◽  
Hemen Zandi ◽  
Seyyed Hossein SeyyedAghaei Rezaei ◽  
...  
Keyword(s):  
Face Recognition ◽  
Social Robot ◽  
Indoor And Outdoor

scholarly journals Implementing CCTV-Based Attendance Taking Support System Using Deep Face Recognition: A Case Study at FPT Polytechnic College

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 307 ◽  
Author(s):  
Ngo Tung Son ◽  
Bui Ngoc Anh ◽  
Tran Quy Ban ◽  
Le Phuong Chi ◽  
Bui Dinh Chien ◽  
...  
Keyword(s):  
Face Recognition ◽  
Motion Blur ◽  
Security Monitoring ◽  
Flexible System ◽  
Lighting Conditions ◽  
Satisfactory Performance ◽  
Measurement Results ◽  
The Face ◽  
Recognition Systems

Face recognition (FR) has received considerable attention in the field of security, especially in the use of closed-circuit television (CCTV) cameras in security monitoring. Although significant advances in the field of computer vision are made, advanced face recognition systems provide satisfactory performance only in controlled conditions. They deteriorate significantly in the face of real-world scenarios such as lighting conditions, motion blur, camera resolution, etc. This article shows how we design, implement, and conduct the empirical comparisons of machine learning open libraries in building attendance taking (AT) support systems using indoor security cameras called ATSS. Our trial system was deployed to record the appearances of 120 students in five classes who study on the third floor of FPT Polytechnic College building. Our design allows for flexible system scaling, and it is not only usable for a school but a generic attendance system with CCTV. The measurement results show that the accuracy is suitable for many different environments.

A Case Study of Automated Face Recognition: The Boston Marathon Bombings Suspects

Computer ◽  
2013 ◽  
Vol 46 (11) ◽  
pp. 91-94 ◽  
Author(s):  
Joshua C. Klontz ◽  
Anil K. Jain
Keyword(s):  
Face Recognition ◽  
Boston Marathon

Risking identity: a case study of Jamaica’s short-lived national ID system

2020 ◽  
Vol 18 (3) ◽  
pp. 329-338
Author(s):  
Hopeton S. Dunn
Keyword(s):  
Face Recognition ◽  
Data Collection ◽  
Data Storage ◽  
Public Consultation ◽  
Social Implications ◽  
Extensive Literature ◽  
Biometric Data ◽  
Content Type ◽  
Social Challenges

Purpose This paper aims to expose the challenges facing the attempt by Jamaica to introduce a new digital ID system without adequate regard to public consultation and the rights of citizens. Design/methodology/approach The method used is critical text analysis and policy analysis, providing background and relevant factors leading up to the legislative changes under review. Extensive literature sources were consulted and the relevant sections of the Jamaican constitution referenced and analysed. Findings The case study may have national peculiarities not applicable in other jurisdictions. Its introduction acknowledges that the Jamaican Government may amend and re-submit the legislation, absent the flawed clauses. The paper however will remain valid given its detailed analysis and exposure of risks associated with biometric data collection, face recognition technology and data storage flaws. Practical implications It will be a practical example of the risks associated with flawed biometric data collection and the role of Courts in reviewing such legislation. Referrals to the Courts can be used as a remedy, as occurred not only in Jamaica but also in many other jurisdictions, including India and Kenya. Social implications The paper foregrounds the rights of citizens to be consulted on the collection and storage of their sensitive biometric data. The social implications and risks of violating the constitutional rights of citizens were made evident, and can be an example to other jurisdictions. Originality/value The paper is the first of its kind to provide detailed data and analysis on an outright rejection by the Courts of a country's ID legislation on grounds that it violated the constitution and rights of citizens. It shows the ethical and social challenges in proposing and implementing legislation without adequate public consultation on such sensitive matters as biometric data. It also exposes some of the challenges of artificial intelligence and face recognition technologies in ID data collection, including flaws related to race, gender and coding.

Sign in / Sign up

Export Citation Format

Share Document