Search

As the first step of vehicle detection and recognition system, how to quickly and accurately detect the vehicle in a picture is directly related to the subsequent vehicle application research. In order to improve the processing speed of vehicle detection, reduce the false alarm rate of detection, and get better results, the method is applied in real scene, this paper carried out in-depth research on this. Collect traffic and urban road surveillance videos as experimental data, of which 2000 were positive samples and 2000 were negative samples. Firstly, a vehicle image preprocessing is carried out on the collected experimental data, and the image feature is extracted based on gray image and improved AdaBoost algorithm, and then the image enhancement is realized by using multi-scale Retinex. Using this method, we can make the image processing accord with the nonlinear characteristics of the human eye to the brightness response, and avoid the distortion of the image directly processed by Fourier transform. In order to improve AdaBoost classifier, it is necessary to use local binary edge features and train the collected feature samples. In order to highlight the vehicle target and ignore the background, we need to use a selective graying way, which is based on the H component of HSV space. The experimental results show that the accuracy of AdaBoost classifier reaches 85.8%, the recall rate is 80.9%, and the comprehensive performance is very high, which can meet the performance requirements. [ABSTRACT FROM AUTHOR]

This paper studies the real-time monitoring of rainfall and atmosphere characteristics and college students' physical training based on target tracking algorithm. In this paper, we use the target tracking algorithm, combined with the GNSS observation stations of BJFS, LHAZ, URUM, CUSV, and PIMO, to calculate the change of rainfall atmosphere characteristics of ULUM station, and then get the PWV above the ULUM station, and compare the PWV obtained by the radiosonde station with the ground-based GNSS inversion results to verify the change of rainfall atmosphere characteristics based on the target tracking algorithm. In order to solve the problem of inaccurate tracking and positioning when the background is cluttered, a target tracking algorithm based on channel reliable local rank transform is proposed. The local rank transform feature combined with lab three-channel image is used to form 16-dimensional feature channel, from which the effective feature channel is selected for fusion to enhance the expression ability of the algorithm for target features. The experimental results show that, compared with the feature channel selected by reliability coefficient, the local rank transform feature channel selected by experience has better tracking effect in specific scene and more accurate position estimation of target. At the same time, with the transformation of China from a sports power to a sports power, sports training is scientific, science and technology help sports, and the guarantee system of sports science integration is gradually improved. The state attaches great importance to the role of science and technology in the training of college athletes, and has purchased a set of Firstbeat sports monitoring system to monitor the athletes' heart rate in real time. A scientific research group is set up to provide scientific and technological services, record the heart rate of athletes during training and competition, so as to determine the "load characteristics" of athletes, and explore the monitoring of athletes' training with heart rate as the object, so as to improve the training quality of athletes. [ABSTRACT FROM AUTHOR]

With the rapid development of China's economic construction, large-scale infrastructure construction has been carried out in the slope area. However, due to the poor geological environment, concentrated rainfall, and limited land resources in the region, a large number of slope toe excavation and graded slope cutting are carried out in the process of engineering construction. The unreasonable excavation method destroys the original slope shape and affects the stability of the slope, which brings many geological disasters in the loess area. Therefore, it is of great significance to analyze the influence of rainfall and excavation on the deformation and stability of loess slope. Considering the practical application, this paper also considers the target tracking on FPGA. The target tracking algorithm on FPGA must be reliable, real-time, meet certain tracking accuracy, and have certain operability. The proposed target tracking algorithm combines Harris method and optical flow method. Firstly, Harris method is used to extract some target angle features, and then optical flow method is used to match angle features more accurately for subsequent video frames. When the target is rotated or twisted, the barycenter algorithm is used to calculate the barycenter of the matching features. Based on the above research, this paper draws the following conclusions: the overall level of green economy efficiency is unbalanced; There is a U-shaped relationship between urban economic development and environmental pollution; The main influencing factors of urban green development efficiency are industrial structure, economic development degree, opening degree, financial development level, and human capital. [ABSTRACT FROM AUTHOR]

Considering the power load in the system has the characteristics of random variation, and the prediction of the power load is the key to ensure the safe operation of the power. At present, there are many methods of power load analysis, based on the computer video capture equipment and target tracking technology, the power load analysis has a good performance in the application. Therefore, in this paper, the algorithm of target tracking under complex scenes of power system operation was researched, its specific application in power load analysis was discussed, and then, the multi-target tracking, irregular target tracking and other technical problems of the target tracking algorithm in the application process in the real world were solved. According to taking the power load analysis of a park grid system as the practical application object, it proved that the research of the target tracking algorithm had a good application effect in the real power load analysis. [ABSTRACT FROM AUTHOR]