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
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...