Titlebook: Computer Vision -- ACCV 2010 Workshops; ACCV 2010 Internatio Reinhard Koch,Fay Huang Conference proceedings 2011 Springer-Verlag GmbH Berli

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https://doi.org/10.1057/9781137062079ndard formats, and they transmit them through the IP network. MPEG-coded videos contain motion vectors that are useful information for video analysis. However, the motion vectors occurring in homogeneous, low-textured, and line regions tend to be unstable and noisy. To address this problem, the nois

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Economic Agents and the Culture of Debtel and compute a distance between each part (pixel or bloc) of the current frame and the model to detect moving targets. Segmentation is then obtained by thresholding this distance. This commonly used approach suffers from two main drawbacks. First, the segmentation is blinded done, without consider

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Economic Agents and the Culture of Debt the displacement and the direction of an object-of-interest. Compared to the detection and tracking techniques, our approach obtains the object displacement directly similar to optical flow, while ignoring other irrelevant movements in the scene. Hence, . has the ability to continuously focus on a

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Ellen A. Skinner,Melanie J. Zimmer-Gembecklysis and tracking. We present a new framework by using two feedback mechanisms which allow interactions between tracking and background subtraction (BGS) to improve tracking accuracy, particularly in the cases of slow-moving and stopped objects. A publish-subscribe modular system that provides the

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Ellen A. Skinner,Melanie J. Zimmer-Gembeckage-based face pose transformation by using the information obtained from multiple input face images without considering three-dimensional face structure. To achieve this, we employ a patch-wise image transformation strategy that calculates small image patches in the output frontal face from patches