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In this paper, the accuracy improvement of velocity measurement of intelligent wheelchair based on optical flow is studied. When wheelchair moves indoor, mechanical jittering occurs slightly, which has an impact on the accuracy of optical flow odometry. To solve the problem, a novel restoration method of optical flow field is proposed. Firstly, we select the starting and end points of optical flow...
Moving object detection under a dynamic background has been a serious challenge in real-time computer vision applications. Global motion compensation approaches, a popular existing technique, aims at compensating the moving background for moving target segmentation. However, it suffers from inaccurate global motion parameters estimation. The paper presents a moving object detection technique that...
In this paper, a monocular 3D dense reconstruction technique based on optical flow feedback is proposed to achieve fast and accurate 3D stereoscopic modeling in the real scene. Corresponding pixel pairs are robustly matched by inter-frame optical flow fields, and the five-point algorithm is employed to determine relative pose of the moving camera, based on which sparse point cloud is generated and...
In this paper, we propose a novel view-invariant gait authentication method based on silhouette contours analysis and view estimation. The approach extracts Lucas-Kanade based gait flow image and head and shoulder mean shape (LKGFI-HSMS) of a human by using the Lucas-Kanade0s method and procrustes shape analysis (PSA). LKGFI-HSMS can preserve the dynamic and static features of a gait sequence. The...
Optical flow estimation is one of the key technologies in computer vision and image processing. However, constancy of the grey value which is used in traditional variational optical flow computation technology is sensitive to the constant changes of illumination and non-translational displacements. To solve this problem, the advanced data terms including the gradient value constancy assumptions and...
Variational methods are among the most accurate techniques for estimating the optic flow. In this paper, an estimation technology of variational optical flow based on Image and Flow-driven regularization methods are introduced to preserve the discontinuities and yield dense flow fields. Additionally, variational frame work together with the image pyramid and gaussian filter method are applied in the...
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