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Physical Sciences and Mathematics Commons

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Articles 1 - 3 of 3

Full-Text Articles in Physical Sciences and Mathematics

Keeping Track Of Things, John Purvis, K. Michael Apr 2009

Keeping Track Of Things, John Purvis, K. Michael

Associate Professor Katina Michael

No abstract provided.


Multiresonator-Based Chipless Rfid System For Low-Cost Item Tracking, Stevan Preradovic, Isaac Balbin, Nemai Karmakar, Gerhard F. Swiegers Jan 2009

Multiresonator-Based Chipless Rfid System For Low-Cost Item Tracking, Stevan Preradovic, Isaac Balbin, Nemai Karmakar, Gerhard F. Swiegers

Faculty of Science - Papers (Archive)

A fully passive printable chipless RFID system is presented. The chipless tag uses the amplitude and phase of the spectral signature of a multiresonator circuit and provides I : 1 correspondence of data bits. The tag comprises of a microstrip spiral multiresonator and cross-polarized transmitting and receiving microstrip ultra-wideband disc loaded monopole antennas. The reader antenna is a log periodic dipole antenna with average 5.5-dBi gain. Firstly, a 6-bit chipless tag is designed to encode 000000 and 010101 IDs. Finally, a 35-bit chipless tag based on the same principle is presented. The tag has potentials for low-cost item tagging such …


Vehicle Tracking Using Projective Particle Filter, Azeddine Beghdadi, Philippe Bouttefroy, Son Lam Phung, Abdesselam Bouzerdoum Jan 2009

Vehicle Tracking Using Projective Particle Filter, Azeddine Beghdadi, Philippe Bouttefroy, Son Lam Phung, Abdesselam Bouzerdoum

Faculty of Informatics - Papers (Archive)

This article introduces a new particle filtering approach for object tracking in video sequences. The projective particle filter uses a linear fractional transformation, which projects the trajectory of an object from the real world onto the camera plane, thus providing a better estimate of the object position. In the proposed particle filter, samples are drawn from an importance density integrating the linear fractional transformation. This provides a better coverage of the feature space and yields a finer estimate of the posterior density. Experiments conducted on traffic video surveillance sequences show that the variance of the estimated trajectory is reduced, resulting …