We present a vision system for the 3-D model- based tracking of unconstrained human movement. Using image sequences acquired simultaneously from multiple views, we recover the 3-D body pose at each time instant without the use of markers. The pose- recovery problem is formulated as a search problem and entails finding the pose parameters of a graphical human model whose synthesized appearance is most similar to the actual appearance of the real human in the multi-view images. The models used for this purpose are acquired from the images. We use a decomposition approach and a best-first technique to search through the high dimensional pose parameter space. A robust variant of chamfer matching is used as a fast similarity measure between synthesized and real edge images.
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Because the properties of aluminum alloys are dependent upon both the exposure temperature and also to the length of time of exposure, the prediction of design values for structures designed to last many years is a significant challenge. For relatively short-life structures, the need is addressed simply by planning ahead and carrying out a test plan that replicates the intended service conditions. This is feasible for structures whose design life might be as much as a year or even five years, but it is not very practical for structures for which the life expectancy is 10 years or more.
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This document is a short introduction to working with COVISE. It is primarily a tutorial for COVISE novices. It doesn’t cover advanced topics such as the development of new application modules or the installation and configuration process. We assume that you have a running COVISE on your machine. For installation guide read the files README and INSTALL.TXT which come with your COVISEdistribution. For developing new application modules read the COVISE Programming Guide.
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GNS3 is a Graphical Network Simulator that allows emulation of complex networks. You may be familiar with VMWare or Virtual PC that are used to emulate various operating systems in a virtual environment. These programs allow you to run operating systems such as Windows XP Professional or Ubuntu Linux in a virtual environment on your computer. GNS3 allows the same type of emulation using Cisco Internetwork Operating Systems. It allows you to run a Cisco IOS in a virtual environment on your computer. GNS3 is a graphical front end to a product called Dynagen. Dynamips is the core program that allows IOS emulation. Dynagen runs on top of Dynamips to create a more user friendly, text-based environment. A user may create network topologies using simple Windows ini-type files with Dynagen running on top of Dynamips. GNS3 takes this a step further by providing a graphical environment.
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The .NET framework was designed to be the “lingua franca” for Windows development, with the expectation that it will set a new standard for building integrated software for Windows. However, it is inevitable that there is a time lag before .NET is fully adopted and existing applications are recoded. In particular, there is a large body of legacy code that will likely never be rewritten in .NET. To address this situation, Microsoft provides attributes, assembly, and marshaling. At the Numerical Algorithms Group (where I work), our particular interest in using these techniques is to utilize numerical software developed in C from within the .NET environment. Because C# is the premier .NET language, the examples I present here are in C#. While I use an example of data types that are current in the NAG C Library, the techniques I present are general enough for calling unmanaged code written in C from C# directly.
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This software is provided to assist the enthusiast in performing tuning and data collection on the user’s car for the purpose of maintenance and performance improvement. We at blaZt strongly suggest you read this manual and understand the contents before using it to tune your vehicle. We make no warranty implied or otherwise regarding the use of this software or any hardware supplied by blaZt.
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When you use your client adapter with the Mac OS operating system, you can protect your data as it is transmitted through your wireless network by encrypting it through the use of Wired Equivalent Privacy (WEP) encryption keys. With WEP encryption, the transmitting device encrypts each packet with a WEP key, and the receiving device uses that same key to decrypt each packet.
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The development in automated people tracking technology in the last decade has resulted in applications where large amounts of data can be generated with significantly less manual work than ever before [11, 12, 13]. One of such examples is the computer vision based tracking on sport videos, where, if certain conditions are met, computer tracks athletes with very little user intervention [14]. Such data can be used in performance analysis [10], giving sport community the feedback on player and team performance.
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