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It has been shown that gait is an efficient biometric feature for identifying a person at a distance. However, it is a challenging problem to obtain reliable gait feature when viewing angle changes because the body appearance can be different under the various viewing angles. In this paper, the problem above is formulated as a regression problem where a novel View Transformation Model (VTM) is constructed...
Gait is a well recognized biometric feature that is used to identify a human at a distance. However, in real environment, appearance changes of individuals due to viewing angle changes cause many difficulties for gait recognition. This paper re-formulates this problem as a regression problem. A novel solution is proposed to create a View Transformation Model (VTM) from the different point of view...
Recent efforts show that it is possible to calibrate a surveillance camera simply from observing a walking human. This procedure can be seen as a special application of the camera self-calibration technique. Several methods have been proposed along this line, but most of them have certain restrictions, such as require the human walking at a constant speed, or require two orthogonal lines marked on...
In some public places such as super market and school, increasing people became too crowed sometime. In this paper, we find a solution to monitor the video and analyze the data automatically. It helps to get warnings before the people becoming too crowded. In order to acquire the real-time images to analysis the people's movement trends, system sends the warning to administrator in time by calculating...
Current digital devices lack the ability to adapt to various lighting conditions, and this makes image color auto adjustment increasingly important. In this paper, we present a simple and effective progressive image color neutralization approach to adjust the image bright region, dark region and mid region independently. First we neutralize the bright region and dark region based on single representative...
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