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A successful high-performance sportswear design that considers human factors should result in a significant increase in thermal comfort and reduce energy loss. The authors describe a body-mapping approach that facilitates the effective ergonomic design of sportswear. Their general framework can be customized based on the functional requirements of various sports and sportswear, the desired combination...
Most of the existing gesture recognition methods are based on the detecting of fingertips and palm points. Thus we address the techniques of gesture recognition by combining the features of fingertips, wrist and arm. In our method, firstly, rough hand region is segmented from depth image, and then precise hand region is refined by Bayesian skin color model. Secondly, finger and fingertip region is...
Although a lot of works have been done in the domain of hand tracking, it is still a challenge to robustly tracking hand motion. Traditional Cam shift algorithm which can efficiently tracking object in a simple scene is sensitive to the changing of background, other variant such as Camshift&Kalman tracking is still not robust enough to give a reliable result. This paper proposes a real-time...
we present a novel discriminative appearance model for monocular multi-target tracking and segmentation in a comparatively crowded scene. Based on the hypothesis that the discriminability among different targets plays an important role in improving the tracking performance, we choose different feature spaces for every target in the scene to insure the discriminability from other targets. In order...
Although hand tracking algorithm has been widely used in virtual reality and HCI system, it is still a challenging problem in vision-based research area. Due to the robustness and real-time requirements in VR applications, most hand tracking algorithms require special device to achieve satisfactory results. In this paper, we propose an easy-to-use and inexpensive approach to track the hands accurately...
We present a new approach to iteratively estimate both high-quality depth map and alpha matte from a single image or a video sequence. Scene depth, which is invariant to illumination changes, color similarity and motion ambiguity, provides a natural and robust cue for foreground/ background segmentation - a prerequisite for matting. The image mattes, on the other hand, encode rich information near...
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