@article {15372,
	title = {A novel approach to removing intersymbol interference from spin-stand images},
	journal = {Magnetics, IEEE Transactions on},
	volume = {40},
	year = {2004},
	month = {2004/07//},
	pages = {2197 - 2199},
	abstract = {A novel intersymbol interference (ISI) removal technique based on the "response function" characterization of giant-magnetoresistive heads is presented. It is demonstrated that the ISI-free readback image that corresponds to the actual underlying magnetization patterns can be extracted from the ISI-distorted readback signal through deconvolution. A new image deconvolution algorithm has been implemented, and it has been shown that it effectively removes the ISI distortions.},
	keywords = {algorithm;, characterization;, Deconvolution, function, function;, giant, giant-magnetoresistive, Head, heads;, image, image;, imaging;, Interference, interference;, intersymbol, ISI-distorted, ISI-free, magnetic, magnetization, magnetoresistance;, patterns;, readback, removal;, response, signal;, spin-stand, suppression;},
	isbn = {0018-9464},
	doi = {10.1109/TMAG.2004.830153},
	author = {Mayergoyz, Issak D and Tse,C. and Krafft,C. and McAvoy,P.}
}
@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.}
}
