An Automated Face Recognition System for Intelligence Surveillance: Smart Camera Recognizing Faces in the Crowd

Abstract

SMART CAMERA

A high resolution smart camera with GigE Vision extension for surveillance applications

“…Smart cameras are becoming increasingly popular with recent advances in both machine vision and semiconductor technology [6][7][8]. The concept of smart camera is to embed processing core into the camera architecture itself, and process the images inside the camera where the image quality is best.…”

“…The brief overview of all of these units is given in this section. For full details of the NICTA smart camera specification and internal architecture, please refer to [6]. …”

Square patch feature based face detection architecture for high resolution smart camera

“…In this paper we present an FPGA based face detection architecture that can be used with the method in [3] on a smart camera such as what was presented in [1] to build a complete high resolution smart camera system with face detection capability. The face detection algorithm is constructed using a faster weak classifier that we called square patch feature and a response binning boosting algorithm [16].…”

“…In [1], a high resolution FPGA based smart camera for surveillance systems was proposed. Figure 1 shows image of the smart camera prototype.…”

Tagging and classifying facial images in cloud environments based on KNN using MapReduce

“…Face recognition has become a specialized area with applications in the field of computer vision over the past few decades. Sophisticated commercial systems ranging from security to intelligent vision-based human-computer interaction (HCI) have been developed, these applications include automated crowd surveillance for recognizing criminals in public spaces [2], private-property access control [3], mug-shot identification [4], facial reconstruction [5], HCI design [6].…”