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In this paper, a method for hand posture recognition, which is robust for hand posture changing in an actual environment, is proposed. Conventionally, a data glove device and a 3D scanner have been used for the feature extraction of hand shape. However, the performance of each approach is affected by hand posture changing. Therefore, this paper proposes the posture fluctuation model for efficient...
We present a method for segmentation of articulated 3D shapes by incorporating the motion information obtained from time-varying models. We assume that the articulated shape is given in the form of a mesh sequence with fixed connectivity so that the inter-frame vertex correspondences, hence the vertex movements, are known a priori. We use different postures of an articulated shape in multiple frames...
Most stereo matching algorithms are pixel-based. From the perspective of human stereo vision, setting segment as a processing element is more practical. A new fast stereo matching algorithm based on segmentation with ground control points (GCPs) is presented in this paper. Firstly, an object-oriented segmentation method is used to segment the reference image, which not only considers color characteristics,...
Pedestrian detection is a difficult task for the following reasons. Firstly, pedestrians have many variations of size, pose, clothing, and motion. Secondly, the background tends to be crowded. Thirdly, many pedestrian-like patterns are observed in real environments. As a result, even if state-of-the-art pattern recognition method is used, a frame-by-frame detection has many false positives and negatives...
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