Title :
Personal access control system using moving object detection and face recognition
Author :
Zeljkovic, Vesna ; Du Zhang ; Valev, Ventzeslav ; Zhongyu Zhang ; Shengjie Zhu ; Junjie Li
Author_Institution :
Sch. of Eng. & Comput. Sci., New York Inst. of Technol., Nanjing, China
Abstract :
Real time automated personal access control system is proposed in order to detect the moving objects, localize, extract and recognize their faces in real image sequence. The described method encompasses two important issues in personal access control system that receives increased attention over years: moving object detection and face recognition. It is tested on personal access controlled area video testing. The efficiency of the described system is illustrated on four real world interior video sequences recorded in indoor/outdoor mixed environment with slight illumination changes.
Keywords :
authorisation; face recognition; feature extraction; image motion analysis; image sequences; object detection; video signal processing; face extraction; face localization; face recognition; illumination change; indoor-outdoor mixed video environment; moving object detection; personal access control system; video sequences; video testing; Access control; Face; Face recognition; Feature extraction; Lighting; Object detection; Streaming media; Face Recognition; Image Processing; Moving Object Detection; Moving Object Tracking;
Conference_Titel :
High Performance Computing & Simulation (HPCS), 2014 International Conference on
Conference_Location :
Bologna
Print_ISBN :
978-1-4799-5312-7
DOI :
10.1109/HPCSim.2014.6903751
