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In this paper, we propose a dynamic gesture spotting and recognition algorithm using our stereovision system. The 3D trajectories of hand gestures are first reconstructed by a stereovision-based motion capture platform. Hand gestures can then be segmented from the trajectory in real time by using proposed gesture spotting algorithm. Discrete cosine transforms coefficients, complex index and gesture...
Least Squares Support Vector Machines could satisfactorily describes the non-linear relationships between the image information and the 3D information. It doesn't need to confirm internal and external parameters of the camera. The kernel function parameter and penalty parameter is a pivotal factor which decides performance of LS-SVM. Most users select parameters for an LS-SVM by rule of thumb, which...
In apple harvesting robot stereo vision system, fruit recognition based on least squares support vector machine (LS-SVM) and calibration based on binocular vision are proposed, in order to gain the location information of apples including depth. Firstly, vector median filtering, opening and closing operations are employed, then feature vectors, H and S components in HIS color model and shape features,...
We propose a method of identifying persons who are using wheelchairs in real environments on the basis of HOG features extracted from disparity images. First, we use USV, which is a stereo vision system for detecting humans, to determine the 3-D location of the humans moving within the monitored area, and cut out the corresponding regions in the disparity image. Then, we compute a HOG feature vector...
We present a semi-automatic system that converts conventional video shots to stereoscopic video pairs. The system requires just a few user-scribbles in a sparse set of frames. The system combines a diffusion scheme, which takes into account the local saliency and the local motion at each video location, coupled with a classification scheme that assigns depth to image patches. The system tolerates...
The goal of this research is to recognize an object and its orientation in space by using stereo camera. The principle of object orientation recognition in this paper was based on the scale invariant feature transform (SIFT) and support vector machine (SVM). SIFT has been successfully implemented on object recognition but it had a problem recognizing the object orientation. For many autonomous robotics...
The technologies for safe driving assistance are of particular importance to escape pedestrians from traffic accidents. We have been doing research on detecting pedestrians by use of stereo cameras on an automobile and giving them priorities according to their degree of danger by analyzing their motions/behaviors. In this particular paper, we present a technique for detecting pedestrians employing...
In this paper we study object recognition on a humanoid robotic head. The head is equipped with a stereo vision system with two cameras in each eye, where the cameras have lenses with different view angles. Such a system models the foveated structure of a human eye. To facilitate the pursuit of moving objects, we provide mathematical analysis that enables the robot to guide the narrow-view cameras...
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