Title :
An Automated Face Recognition System for Intelligence Surveillance: Smart Camera Recognizing Faces in the Crowd
Author :
Mustafah, Y.M. ; Azman, A.W. ; Bigdeli, A. ; Lovell, B.C.
Author_Institution :
NICTA, Brisbane
Abstract :
Smart cameras are rapidly finding their way into intelligent surveillance systems. Recognizing faces in the crowd in real-time is one of the key features that will significantly enhance intelligent surveillance systems. The main challenge is the fact that the high volumes of data generated by high-resolution sensors make it computationally impossible for mainstream computers to process. In our proposed technique, the smart camera extracts all the faces from the full-resolution frame and sends the pixel information from these face areas to the main processing unit as a auxiliary video stream - potentially achieving massive data rate reduction. Face recognition software running on the main processing unit then performs the required pattern recognition.
Keywords :
cameras; face recognition; image resolution; video streaming; video surveillance; automated face recognition system; auxiliary video stream; high-resolution sensor; intelligent surveillance system; mainstream computer; pattern recognition; smart camera; Computational intelligence; Data mining; Face recognition; Intelligent sensors; Intelligent systems; Real time systems; Smart cameras; Smart pixels; Streaming media; Surveillance; FPGA; High Resolution; Smart Camera; Surveillance;
Conference_Titel :
Distributed Smart Cameras, 2007. ICDSC '07. First ACM/IEEE International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4244-1354-6
Electronic_ISBN :
978-1-4244-1354-6
DOI :
10.1109/ICDSC.2007.4357518