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Vehicle classification and counting play an important role in the intelligent transportation system, as they may serve to improve traffic congestion and safety problems. Therefore, this study has developed a real-time and vision-based vehicle classification and counting system. This will involve establishing Time-Spatial Images (TSI) from input video, removing the shadow portions in TSI through the...
In this paper, a computing framework for adaptive-support-window-based multi-lateral filters is proposed. The so-called multi-lateral filters, extended from the well-known bilateral filter, have found their broaden applications in noise/high-frequency suppression for 2-D image and 3-D depth processing. Our filters rely on binarizing the traditional pixel-wise weights to be only 0 or 1, resulting in...
In this paper, a computation-efficient adaptive support-window scheme is proposed to approximate the conventional bilateral filtering. The difference is that the pixel-wise weights in bilateral filter are thresholded to be only 0 or 1. This results in an adaptive support window, depending on the local image structure of the anchor pixel. A cross-based algorithm is devised to achieve adaptive support...
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