Add to ORKGThere is a rapidly growing demand for using smart cameras for various applications in surveillance and identification. Although having a small form-factor, most of these applications demand huge processing performance for real-time processing. Face recognition is one of those applications. In this paper we show that we can run face recognition in real-time by implementing the algorithm on an architecture which combines a parallel processor with a high performance digital signal processor. Everything fits within a digital camera, the size of a normal surveillance camera
Recognizing faces in a crowd in real-time is a key feature which would significantly enhance Intelli...
Abstract — We propose a near real-time face recognition system for embedding in consumer application...
Face Recognition techniques are solutions used to quickly screen a huge number of persons without be...
There is a rapidly growing demand for using smart cameras for various applications in surveillance a...
There is a rapidly growing demand for using smart cameras for various applications in surveillance a...
Recognizing faces in a crowd in real-time is a key feature which would significantly enhance intelli...
We propose a near real-time face recognition system for embedding in consumer applications. The syst...
Abstract: The paper presents a study of autonomous face recognition systems based on high performanc...
This work offers a graphics processing unit (GPU)-based system for real-time face recognition, which...
The objective of this paper is to come up with a scalable modular hardware solution for real-time Fa...
Face recognition is a pattern recognition technique and one of the most important biometrics; it is ...
This paper describes the design and implementation of a hardware-software embedded system for face r...
ABSTRACT: Smart Cameras are rapidly finding their way into Intelligent Surveillance Systems. Recogni...
Human face recognition is an active area of research spanning several disciplines such as image proc...
In this paper, we propose a new feature-based approach to detect and track faces in real-time applic...
Recognizing faces in a crowd in real-time is a key feature which would significantly enhance Intelli...
Abstract — We propose a near real-time face recognition system for embedding in consumer application...
Face Recognition techniques are solutions used to quickly screen a huge number of persons without be...
There is a rapidly growing demand for using smart cameras for various applications in surveillance a...
There is a rapidly growing demand for using smart cameras for various applications in surveillance a...
Recognizing faces in a crowd in real-time is a key feature which would significantly enhance intelli...
We propose a near real-time face recognition system for embedding in consumer applications. The syst...
Abstract: The paper presents a study of autonomous face recognition systems based on high performanc...
This work offers a graphics processing unit (GPU)-based system for real-time face recognition, which...
The objective of this paper is to come up with a scalable modular hardware solution for real-time Fa...
Face recognition is a pattern recognition technique and one of the most important biometrics; it is ...
This paper describes the design and implementation of a hardware-software embedded system for face r...
ABSTRACT: Smart Cameras are rapidly finding their way into Intelligent Surveillance Systems. Recogni...
Human face recognition is an active area of research spanning several disciplines such as image proc...
In this paper, we propose a new feature-based approach to detect and track faces in real-time applic...
Recognizing faces in a crowd in real-time is a key feature which would significantly enhance Intelli...
Abstract — We propose a near real-time face recognition system for embedding in consumer application...
Face Recognition techniques are solutions used to quickly screen a huge number of persons without be...