The p t -differential inclusive production cross sections of the prompt charmed mesons D 0 , D + , and D * + in the rapidity range |y| < 0.5 were measured in proton-proton collisions at √ s = 7 TeV at the LHC using the ALICE detector. Reconstructing the decaysand their charge conjugates, about 8,400 D 0 , 2,900 D + , and 2,600 D * + mesons with 1 < p t < 24 GeV/c were counted, after selection cuts, in a data sample of 3.14×10 8 events collected with a minimum-bias trigger (integrated luminosity L int = 5 nb −1 ). The results are described within uncertainties by predictions based on perturbative QCD.

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We report measurements of the nuclear modification factor R_{CP} for charged hadrons as well as identified π^{+(-)}, K^{+(-)}, and p(p[over ¯]) for Au+Au collision energies of sqrt[s_{NN}]=7.7, 11.5, 14.5, 19.6, 27, 39, and 62.4 GeV. We observe a clear high-p_{T} net suppression in central collisions at 62.4 GeV for charged hadrons which evolves smoothly to a large net enhancement at lower energies. This trend is driven by the evolution of the pion spectra but is also very similar for the kaon spectra. While the magnitude of the proton R_{CP} at high p_{T} does depend on the collision energy, neither the proton nor the antiproton R_{CP} at high p_{T} exhibit net suppression at any energy. A study of how the binary collision-scaled high-p_{T} yield evolves with centrality reveals a nonmonotonic shape that is consistent with the idea that jet quenching is increasing faster than the combined phenomena that lead to enhancement.

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An essential component of new advanced intelligent video surveillance systems is the possibility to perform non-cooperative people detection and identification. Nowadays Face Detection and Recognition are used in access control systems where the human being is willing to help the system, but the task is much more complex in other unconstrained situations. The paper refers some results of a preliminary study to investigate the most promising approach for face detection in noncooperative conditions with the main objective to reduce as much as possible the number of false alarms working on video-rate processing speed.The proposed solution has been developed around the AdaBoost approach [1], using the open-CV library, with an integration of motion and colour segmentation. The primary scope of the paper is to refer some experimental results to show the potential improvements in terms of reduction of false positives and a significant decrease of the execution time.

This talk is an update on the discussions of the Biometric Authentication Consortium held at previous CardTech/SecurTech conferences. The Consortium held its first meeting in October 1992 under the chairmanship of Dr. Benincasa. Since then, the Consortium has been meeting 2-3 times per year to provide a forum for information exchange on biometric-based personal identification/authentication technology among the Government, industry, and academia. In 1994, we broadened our scope by dropping Authentication from the name (to include identification) and Dr. Campbell and Ms. Alyea took over as chair and vice chair, respectively. The goals of the consortium remain largely the same under this new leadership. The current emphasis is on the formal approval of our charter and on the establishment of a national biometric test and evaluation laboratory. MISSION & FUNCTIONThe Biometric Consortium serves as a Government focal point for research, development, test, evaluation and application of biometric-based personal identification/authentication technology. The Consortium encourages the use and acceptance of biometric technology in areas of critical need, as well as concerning itself with maximizing performance, minimizing cost, and avoiding duplication of effort. The Consortium coordinates technological concerns and issues of performance and efficiency within the Government in order to serve the best interests of the taxpayer. To accomplish these objectives, the Consortium will:Promote the science and performance of biometrics Establish standardized testing databases, procedures and protocols Provide a forum for information exchange among the Government, industry, and academia Establish increased Government and commercial interaction Establish symposia/workshops to include the contributions of academia and private industry Establish a feedback mechanism for issues that are exposed during the actual application of this technology Address the safety, performance, legal and ethical issues surrounding this technology.Biometric Consortium 1 of 4 9/6/00 11:36 AM