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Gait is an important physiological biometric in the area of computer vision for human authentication at a distance. In appearance-based gait recognition system, significant gait features could be affected by various cofactors such as cloths or carrying objects. Therefore, detecting co-factored segments and eliminating co-factored information without losing the features of Gait Energy Image (GEI) is...
In several applications of computer vision and image processing, the inception of the processing starts with object detection and subsequently tracking, if the need arises. In recent years, there has been extensive research in the field of object detection and tracking. Many remarkable algorithms have been developed for object detection and tracking, including color segmentation, edge tracking and...
This paper presents an automatic speed sign detection and recognition for providing the visual driving-assistance of speed limits awareness. To reduce the influence of digital noise caused by lighting condition and pollution, a segmentation based on pan-red color information is applied to extract the shape of speed sign. Based on the edge-phase information of a circle shape, a novel edge-voting principle...
The automatic detection and recognition of traffic signs have practical importance for intelligent traffic system. A method for some prohibition traffic signs designed for drivers is proposed in this paper. The color information in HSI color space and the symmetry property of circles are used to detect signs, and the Histograms of Oriented Gradients feature and the nearest distance method are used...
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