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The main challenges of multi-object tracking are the heavy occlusion between targets and targets, in/out the field of surveillance and the data association between objects and candidate objects, etc. In this paper, we proposed a multi-object tracking algorithm by collaborative multi-feature based on Kalman filter, first, in the detection program, we extract pedestrians in every frame, and we adopt...
Gas insulation equipment are widely used in high voltage electrical field, which use SF6 gas as insulation medium and have many advantages such as low maintenance and high reliability. But SF6 leakage caused by factors such as manufacturing, installation and material aging will severely reduce the insulation performance of equipment and eventually lead to the occurrence of insulation fault. Therefore,...
In recent years, occluded target tracking has become a hot topic in the research field of machine vision. Mean shift(MS) and particle filter(PF) are two successful methods for target tracking. Both have respective advantages and weaknesses. MS algorithm is good at prompting tracking but sensitive to occlusion while PF algorithm is robust to occlusion but need extensive computation cost. In order to...
According to the characteristics of gray image, histogram equalization, image smoothing, image sharpening and Wavelet transform for image processing are adopted, and the improved algorithm to make up some limitations and shortcomings are used in this paper. By analyzing the experimental results, the range of applications of the different enhancement algorithms are obtained.
Banknote sorting is an important operation in the bank. The banknote image orientation plays an key role in banknote recognition. In this paper, the theory of least square is researched deeply and is used in banknote orientation. Its properties and application circumstances are summed up by experiments.
In this paper, we investigate the bag-of-feature based medical image retrieval methods, which represent an image as a bag of local features, such as image patchs. To describe local feature bags effectively, most bag-of-feature methods learn a visual vocabulary containing a number of visual words via clustering. Different visual words have different importance in a medical image. The visual word weighting...
Automatically classifying the tissues types of region of interest (ROI) in medical imaging has been a important application in computer-aided diagnosis, such as classification of breast parenchymal tissue in the mammogram. Recently, bag-of-features method has show its power in this field, treating each medical image as a set of local features. In this paper, we investigate using the bag-of-features...
<?Pub Dtl?>Bag-of-features based approaches have become prominent for image retrieval and image classification tasks in the past decade. Such methods represent an image as a collection of local features, such as image patches and key points with scale invariant feature transform (SIFT) descriptors. To improve the bag-of-features methods, we first model the assignments of local descriptors as...
The image segmentation of a robot binocular stereo vision system is the key issue in imaging processing. In this paper, the method of 2-d maximum entropy threshold image segmentation with Chaos PSO algorithm is used to segment the images information collected by a robot vision system, and the algorithm is checked by a real robot binocular stereo vision system. Moreover, compared with previous research,...
A content analysis based medical images fusion with fuzzy inference is presented. For well design fuzzy inference rules, the contents of two source images are analyzed with histograms. In the calculation of histograms, section is determined by two source images. Inference rules are designed based on fusion target and histograms of CT image and MRI image. Experiment results comparison from subject...
Free viewpoint video (FW) is on its research stage with many problems to be resolved. Due to no original data can be used to compare with when the arbitrary viewpoint image is reproduced, quality evaluation for the new viewpoint image becomes one of the difficulties in realizing FW. Ray space representation is the main approach to realize FVV of complex scene and ray space interpolation is one of...
Bistable stochastic resonance (BSR) can change the image signalpsilas histogram distribution. In this paper, the influence of bistable system parameters on the contrast of the output image is investigated through the observation of histograms. An image-processing method of BSR via tuning parameters is proposed. The experiment on the treatment of an image plus noise has proved that it can improve the...
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