2014/11/25 by Karim Hammoudi, Nabil Ajam, Hammoudi, Karim +13
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #cs.CV #cs.NI
paper · pdf · doi:10.48550/arxiv.1412.6149
paper accepted for publication in the proceedings of the "17ème Colloque Compression et Représentation des Signaux Audiovisuels" (CORESA), 5p., Reims, France, 2014. (preprint)
arxiv created 2014/11/25 · arxiv updated 2014/12/22
In this paper, we propose a design for novel and experimental cloud computing systems. The proposed system aims at enhancing computational, communicational and annalistic capabilities of road navigation services by merging several independent technologies, namely vision-based embedded navigation systems, prominent Cloud Computing Systems (CCSs) and Vehicular Ad-hoc NETwork (VANET). This work presents our initial investigations by describing the design of a global generic system. The designed system has been experimented with various scenarios of video-based road services. Moreover, the associated architecture has been implemented on a small-scale simulator of an in-vehicle embedded system. The implemented architecture has been experimented in the case of a simulated road service to aid the police agency. The goal of this service is to recognize and track searched individuals and vehicles in a real-time monitoring system remotely connected to moving cars. The presented work demonstrates the potential of our system for efficiently enhancing and diversifying real-time video services in road environments.