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With the aim of solving the problems of the Petri nets to the place/transition nets automatic conversion and realization of Petri nets parallel control and running, the algorithm is proposed to transform Color Petri net systems transform into P/T nets. The algebraic model of colored Petri nets and P/T nets, and its intrinsic mechanism is analyzed, the process and theory verification of the colored...
Swimmer tracking in swimming pools is a challenging vision task due to its varying complex background. Most moving object detection methods are developed for static or partial static backgrounds, and thus can not be applied in swimmer detection problems. This work presents an approach combining mean-shift clustering and cascaded boosting learning algorithm for swimmer detection. There are three main...
We compare the scene classification performance of 13 features, including structure, texture and color features. First, image classification are performed using a single feature and the performance of different features are compared. Both the k-nearest-neighbor (KNN) classifier and the support vector machine classifier (SVM) are employed. And for the KNN classifier, we use four different distance...
This paper presents a new method for satellite image classification. Specifically, we make two main contributions: (1) we introduce the sparse coding method for high-resolution satellite image classification; (2) we effectively combine a set of diverse and complementary features-SIFT, Color Histogram and Gabor to further improve the performance. A two-stage linear SVM classifier is designed for this...
Denoising is one of the most common and important task in video processing systems and abundant efforts have been made on video denoising nowadays. Multihypothesis motion compensated filter (MHMCF) is an effective video denoising method, which combines multiple hypotheses obtained from motion estimation through a number of reference frames by weighted average to suppress noise. However, MHMCF only...
The development of information technology provide foundation to collect a large number of data for urban traffic management. These traffic data can be used to monitor traffic state surrounding the bottleneck and to analysis the evolution of the temporal and spatial rules of congestion. Based on the historical detector data, the new indexes have been proposed in this paper to evaluate the severity...
In this study, we are going to focus on the exploration of color based features on labeling remote sensing images. The common widely used color descriptors are based on color histogram or Gaussian Mixture Models. However, the problem of these methods is to lack of the spatial layout information. We propose a new color description and matching approach, which allows to relax the assumption of independence...
In this paper, we propose a method to automatically obtain a user's gesture skin color space which is used to perform gesture segmentation. The proposed approach is based on gesture skin color space that is obtained by the least squares approximations solution and Gaussian distributed model. In addition, we can also improve gesture segmentation defacement, which is caused by a complex background,...
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