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Traffic management is a serious issue in the intelligent transportation systems (ITS). One of the most significant current discussions is traffic incident detection. We have developed an algorithm, referred to vehicle detection based on level set theory and background subtraction, accurate contour of moving object is obtained. The Kalman filtering is applied to predict the possible trajectories of...
Scene classification is an important application field of multimedia information technology, whereas how to extract features from image is one of the key technologies in scene classification and recognition. A new method of extracting features is presented in this paper, it extracts features through gray level-gradient co-occurrence matrix in the neighborhood of interest points, also it can reserve...
Traffic visual tracking technology is currently one of the most active research topics in the domain of visual tracking. Normally, motion object segmentation, object classification, object tracking and behavior understanding are involved in traffic visual tracking technology. This paper firstly reviews the research contents as well as states of the traffic visual tracking technology from the four...
Variable precision rough sets (VPRS), as a extension of rough sets (RS) is adopted to reduce the redundant features for its ability of more useful information adopted compared with RS. The reduced features after VPRS are fed into the improved BP network proposed to inspect the defects of surface quality, which results in short training time and a high classification accuracy with a typical application...
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