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Titlebook: Computer Vision Systems; 7th International Co Mario Fritz,Bernt Schiele,Justus H. Piater Conference proceedings 2009 Springer-Verlag Berlin

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The Deceased-focused Approach to Griefcloud is processed by maximum spanning tree clustering algorithm to group the points into vehicle objects. Bounding boxes are defined for each detected object, giving an approximation of the vehicles 3D sizes. The system presented here has been validated manually and gives over 90% of good detection accuracy at 20-25 frames/s.
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The Decembrist Myth in Russian Cultures the inner roof corners. Parameterized building parts are selected using these corners and afterwards combined to form complete three-dimensional building models. We focus here on the domain specific information fusion and present results on a sub-urban dataset.
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The Decembrist Myth in Russian Culturestereo matching algorithms are available, but these algorithms normally work with full frame images. In this paper we evaluate how the AE data from the silicon retina sensors must be adapted to work with full-frame area-based and feature-based stereo matching algorithms.
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Boosting with a Joint Feature Pool from Different Sensorsonducted to compare system performances between different merged and single sensor based classifiers. We found that for all object categories the classification performance is considerably improved by the joint feature pool.
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https://doi.org/10.1007/978-1-349-26077-5onducted to compare system performances between different merged and single sensor based classifiers. We found that for all object categories the classification performance is considerably improved by the joint feature pool.
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Debt and Monetary Policy: The Policy Issuescapabilities, actively follows a conversation among several human subjects. The essential idea of our proposal is that the robot system can dynamically change the focus of its attention according to visual or audio stimuli to track the actual speaker throughout the conversation and infer her identit
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Debt and Monetary Policy: The Policy Issuescontrols and annotations displayed over the live video feed. The annotations indicate detected faces, positions of eyes, and after training, the names of enrolled people. Enrollment is video based, capturing many images per person. FaceL does a good job of distinguishing between a small set of peopl
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https://doi.org/10.1007/978-1-349-26077-5 of much use in monitoring people at jobs that require high degree of alertness, such as that of a driver of a vehicle. This paper presents a non-intrusive system based on facial biometrics techniques, to accurately detect and quantify eye-blinks. Given a video sequence from a standard camera, the p
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