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Traffic panels contain rich text and symbolic information for transportation and scene understanding. Fast detection of traffic panels facilitates text information extraction but has been paid little attention by the community. In this paper, we propose a fast and robust approach for rectangular traffic panel detection from traffic scene images. Considering the rectangular shape of traffic panels,...
This paper proposes a real-time hand finger motion capturing method using Kinect. It consists of three modules: hand region segmentation, feature points extraction, and joint angle estimation. The first module extracts the hand region from the depth image. The second module applies a pixel classifier to segment the hand region into eight characteristic sub-regions and the residual sub-region. The...
Visible-spectrum indexes based methods for detection of vegetation coverage suffer from a dependence solely on color. To address these issues, this paper presents a graph cut and total variation based variational level set segmentation algorithm combining local wavelet texture and prior color. First, the prior color is generated through manual labeling with histogram estimation; local wavelet texture...
This paper introduces a vision-based continuous sign language recognition (CSR) system. This CSR system can differentiate the signs in vocabulary and the non-signs. First, the continuous sign language is segmented into isolated sign segments. Then, the sign segment which can be interpreted by Product-HMMs (pHMM) is a sign, otherwise it is a non-sign. In the experiments, we test 40 signs from Taiwanese...
In order to retrieve the character images but avoid the OCR system which is limited in some application, a method for Chinese characters retrieval is presented in this paper. It firstly extracts the improved contour feature of Chinese character images, which is used to match roughly. Then, the candidate character images attained above are divided by the centroid of each one. For each part divided,...
In this paper, a new approach to detect masses in digital mammograms is presented. Firstly, preprocessing procedure is carried out to enhance the contrast between mass and surrounding tissue based on the algorithm of exponential transformation, which maps a narrow range of high grey-level values into a wider range of output levels. After preprocessing, pyramid segmentation algorithm is used to segment...
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