@conference {13245,
	title = {Scalable image-based multi-camera visual surveillance system},
	booktitle = {Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, 2003.},
	year = {2003},
	month = {2003/07//},
	pages = {205 - 212},
	abstract = {We describe the design of a scalable and wide coverage visual surveillance system. Scalability (the ability to add and remove cameras easily during system operation with minimal overhead and system degradation) is achieved by utilizing only image-based information for camera control. We show that when a pan-tilt-zoom camera pans and tilts, a given image point moves in a circular and a linear trajectory, respectively. We create a scene model using a plan view of the scene. The scene model makes it easy for us to handle occlusion prediction and schedule video acquisition tasks subject to visibility constraints. We describe a maximum weight matching algorithm to assign cameras to tasks that meet the visibility constraints. The system is illustrated both through simulations and real video from a 6-camera configuration.},
	keywords = {ACQUISITION, algorithm;, camera;, constraints;, feature, hidden, image-based, MATCHING, maximum, multi-camera, occlusion, pan-tilt-zoom, PLAN, prediction;, processing;, removal;, scalable, scheduling;, signal, Surveillance, surveillance;, system;, task, video, view;, visibility, visual, weight},
	doi = {10.1109/AVSS.2003.1217923},
	author = {Lim,Ser-Nam and Davis, Larry S. and Elgammal,A.}
}
@article {11913,
	title = {Rover: scalable location-aware computing},
	journal = {Computer},
	volume = {35},
	year = {2002},
	month = {2002/10//},
	pages = {46 - 53},
	abstract = {All the components necessary for realizing location-aware computing are available in the marketplace today. What has hindered the widespread deployment of location-based systems is the lack of an integration architecture that scales with user populations. The authors have completed the initial implementation of Rover, a system designed to achieve this sort of integration and to automatically tailor information and services to a mobile user{\textquoteright}s location. Their studies have validated Rover{\textquoteright}s underlying software architecture, which achieves system scalability through high-resolution, application-specific resource scheduling at the servers and network. The authors believe that this technology will greatly enhance the user experience in many places, including museums, amusement and theme parks, shopping malls, game fields, offices, and business centers. They designed the system specifically to scale to large user populations and expect its benefits to increase with them.},
	keywords = {amusement, application-specific, architecture;, automation;, business, business;, computing;, data, entertainment;, handheld, humanities;, integration, LAN;, location-aware, malls;, mobile, museums;, office, parks;, processing;, resource, Rover;, scalability;, scalable, scheduling;, shopping, software, system, theme, units;, user;, wireless},
	isbn = {0018-9162},
	doi = {10.1109/MC.2002.1039517},
	author = {Banerjee,S. and Agarwal,S. and Kamel,K. and Kochut, A. and Kommareddy,C. and Nadeem,T. and Thakkar,P. and Trinh,Bao and Youssef,A. and Youssef, M. and Larsen,R.L. and Udaya Shankar,A. and Agrawala, Ashok K.}
}
