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The use of depth is becoming increasingly popular in real-time computer vision applications. However, when using real-time stereo for depth, the quality of the disparity image is usually insufficient for reliable segmentation. The aim of this paper is to obtain a more accurate and at the same time faster segmentation by incorporating color, depth and optical flow. A novel real-time superpixel segmentation...
In this work, we present a system for recognizing letters and finger-spelled words of the American sign language (ASL) in real-time. To this end, the system segments the hand and estimates the hand orientation from captured depth data. The letter classification is based on average neighborhood margin maximization and relies on the segmented depth data of the hands. For word recognition, the letter...
Driver assistance helps save lives. Accurate 3D pose is required to establish if a traffic sign is relevant to the driver. We propose a real-time system that integrates single view detection with region-based 3D tracking of road signs. The optimal set of candidate detections is found, followed by AdaBoost cascades and SVMs. The 2D detections are then employed in simultaneous 2D segmentation and 3D...
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