The Model of Face Recognition in Video Surveillance Based on Cloud Computing

Abstract

Abstract. As more and more using of the video surveillance systems, how to find criminal information through these vast amounts of video data in a largescale cross-platform has been a difficult problem. Based on discussion about the high performance computing and mass storage capabilities of cloud computing, this paper puts forward a new idea that dealing with face recognition in a wide range of video surveillance system through the cloud platform. And provides the model of face recognition in video surveillance based on cloud computing.

Novel remote display method for multimedia cloud

“…fr bw fr f f fr re cm B L R (7) PSNR constraint The video PSNR should be greater than or equal to the required minimum PSNR, i.e., _ _ m i n ( ) sn sn f cm R (8) Client capability constraint The required processing capability for decoding video at client side should be less than or equal to what client device owns, i.e., _ ( , , ) de f fr re cm P (9) Other constraints All variables should be greater or equal to 0, i.e., , , , , 0 i n re fr cm g i (10) If we consider the encoding task is handled by one VM, the following constraint should be included as well:…”

“…In [10], a novel system is invented to bringing together automatic license plate recognition engines and cloud computing technology in order to realize massive data analysis and enable the detection and tracking of a target vehicle in a city with a given license plate number. Real-time face recognition approach is implemented using a mobile-cloudlet-cloud acceleration architecture in [9]. In another study [8], multiclass object recognition using smart phone and cloud computing for augmented reality and video surveillance applications is proposed.…”