On Acquisition and Analysis of a Dataset Comprising of Gait, Ear and Semantic data

In outdoor scenarios such as surveillance where there is very little control over the environments, complex computer vision algorithms are often required for analysis. However constrained environments, such as walkways in airports where the surroundings and the path taken by individuals can be controlled, provide an ideal application for such systems. Figure 1.1 depicts an idealised constrained environment. The path taken by the subject is restricted to a narrow path and once inside is in a volume where lighting and other conditions are controlled to facilitate biometric analysis. The ability to control the surroundings and the flow of people greatly simplifes the computer vision task, compared to typical unconstrained environments. Even though biometric datasets with greater than one hundred people are increasingly common, there is still very little known about the inter and intra-subject variation in many biometrics. This information is essential to estimate the recognition capability and limits of automatic recognition systems. In order to accurately estimate the inter- and the intra- class variance, substantially larger datasets are required [40]. Covariates such as facial expression, headwear, footwear type, surface type and carried items are attracting increasing attention; although considering the potentially large impact on an individuals biometrics, large trials need to be conducted to establish how much variance results. This chapter is the first description of the multibiometric data acquired using the University of Southampton's Multi-Biometric Tunnel [26, 37]; a biometric portal using automatic gait, face and ear recognition for identification purposes. The tunnel provides a constrained environment and is ideal for use in high throughput security scenarios and for the collection of large datasets. We describe the current state of data acquisition of face, gait, ear, and semantic data and present early results showing the quality and range of data that has been collected. The main novelties of this dataset in comparison with other multi-biometric datasets are: 1. gait data exists for multiple views and is synchronised, allowing 3D reconstruction and analysis; 2. the face data is a sequence of images allowing for face recognition in video; 3. the ear data is acquired in a relatively unconstrained environment, as a subject walks past; and 4. the semantic data is considerably more extensive than has been available previously. We shall aim to show the advantages of this new data in biometric analysis, though the scope for such analysis is considerably greater than time and space allows for here

Alien Registration- Bunting, Effie (Saint Agatha, Aroostook County)

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Alien Registration- Bustard, Dorothy M. (Limestone, Aroostook County)

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Marx, Economic Sustainability, and Ideal Capital

My purpose in this work is to argue that the resolution of capitalism’s contradictions, as they are understood by Marx, fits the criteria of an economic movement towards sustainability. The Marxist analysis of capitalism, while accurate in many respects (especially with the explanation of contradictions generated in the capitalist free market), requires more explanation of the manner in which the economic process of valuation is to continue in the stages succeeding late capitalism. This work will provide an explanation of this economic transition that remains faithful to Marx’s understanding of history and the historical development of the productive forces and the relations of production. I will propose the inclusion of ideal capital (the valuation of non-material goods) as an economic component to help explain a sustainable economic arrangement under a Marxian framework. I will additionally address critiques arising from Bohm-Bawerk in my endorsement of a Marxian economic analysis

Toward quantum processing in molecules: A THz-bandwidth coherent memory for light

The unusual features of quantum mechanics are enabling the development of technologies not possible with classical physics. These devices utilize nonclassical phenomena in the states of atoms, ions, and solid-state media as the basis for many prototypes. Here we investigate molecular states as a distinct alternative. We demonstrate a memory for light based on storing photons in the vibrations of hydrogen molecules. The THz-bandwidth molecular memory is used to store 100-fs pulses for durations up to 1ns, enabling 10,000 operational time bins. The results demonstrate the promise of molecules for constructing compact ultrafast quantum photonic technologies.Comment: 5 pages, 3 figures, 1 tabl

Alien Registration- Bustard, John H. (Saint Agatha, Aroostook County)

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