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3rd International Conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 2024

作者： Song, Yuan School of Economics and Management China Shanghai University of Political Science and Law China Shanghai China

ISBN: (纸本)9798331519032

Traditional enterprise risk detection methods often rely on manual analysis and judgment, which is not only inefficient but also easily affected by human factors, resulting in the inability to guarantee the accuracy and timeliness of risk detection. When the vibe (Visual Background Extractor) algorithm was applied, financial, operational, and market information related to enterprise risk was collected;the collected data was preprocessed, including data cleaning, outlier removal, and data normalization. From 0.85 for small enterprises to 0.91 for ultra large enterprises, although the growth rate was not significant, this trend was evident;the recall rate also showed a similar trend, ranging from 0.80 for small enterprises to 0.89 for ultra large enterprises, indicating that as the scale of the enterprise expanded. Applying the vibe algorithm based enterprise risk intelligent detection and management model to the field of enterprise risk detection is beneficial for improving the intelligence level of enterprise management. © 2024 IEEE.

关键词： enterprise management Enterprise risk intelligent risk detection vibe algorithm

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Moving Object Detection Based on Improved vibe algorithm

Moving Object Detection Based on Improved ViBe Algorithm

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Conference on Real-Time Image Processing and Deep Learning

作者： Liu, Kun Zhang, Junping Harbin Inst Technol Sch Elect & Informat Engn Harbin 150001 Peoples R China

ISBN: (数字)9781510643109

ISBN: (纸本)9781510643109

Moving object detection and recognition has been widely used in computer vision and remote sensing field. When the foreground object exists in the initial frame, the original vibe algorithm has ghost phenomenon and the fixed threshold is not always appropriate for different background complexity. In the light of this, an improved vibe algorithm is proposed in this paper. In order to reduce the repetition rate of the pixel value in background model, the proposed method changes the way of neighborhood selection so as to improve the accuracy of background model initialization. During the background model update process, different time subsampling factors are used to speed up the update. Based on the characteristic of less texture information in ghost regions, texture feature operators are used to further remove ghost. In addition, the adaptive threshold is used to replace the fixed threshold to improve the anti-noise performance of the algorithm. Shadow features, the unique brightness, hue and saturation, are used to solve the problem that the moving shadow causes the decrease of detection accuracy. Experiments have been conducted on the public *** data set, indicating that the proposed method is superior to original vibe algorithm, thus the higher detection accuracy can be achieved and ghost phenomenon and moving shadows can be alleviated at the similar detection efficiency.

关键词： vibe algorithm Ghost suppression Moving target detection Shadow removal

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Liquid Leakage Detection Of Power Plant Pipelines Based On Improved vibe algorithm

Liquid Leakage Detection Of Power Plant Pipelines Based On I...

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Power System and Green Energy Conference (PSGEC)

作者： Peng Daogang Liu Weiwei Qi Erjiang Hu Jie Shanghai Univ Elect Power Coll Automat Engn Shanghai Peoples R China Power Plant Baoshan Iron & Steel Co Ltd Shanghai Peoples R China

ISBN: (纸本)9781728190952

Liquid leakage in power plant pipelines not only wastes resources, but also affects the safe and stable production requirements of power plants. In order to detect the liquid leakage area of power plant pipelines timely and accurately, and meet the requirements of practical application, this paper proposes a method of power plant pipeline liquid leakage detection based on improved vibe algorithm. According to the characteristics of power plant pipeline liquid leakage, and the traditional vibe algorithm cannot adapt to dynamic background changes and quickly eliminate ghosting problems in the detection results, this paper chooses to expand the sampling neighborhood of the background model and adopts an adaptive radius threshold determined by the dispersion coefficient. To improve the accuracy of leak detection, and redetermine the leaking and non-leaking areas through Otsu threshold calculation, quickly and effectively suppress the appearance of ghost areas, so as to make the segmented power plant pipeline liquid leakage area more complete.

关键词： Power plant pipeline liquid leakage vibe algorithm adaptive radius threshold expanding sampling neighborhood Otsu

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An Adaptive vibe algorithm Based on Dispersion Coefficient and Spatial Consistency Factor

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AUTOMATIC CONTROL AND COMPUTER SCIENCES 2020年第1期54卷 80-88页

作者： Zhang, Q. Lu, W. Huang, Ch. Lian, W. Yang, X. Yulin Normal Univ Coll Comp Sci & Engn Yulin 537000 Guangxi Peoples R China

vibe algorithm is a powerful moving object detection algorithm. It has many advantages, such as simple method, easy implementation and high computational efficiency, but there are also many shortcomings, such as ghost problem, susceptibility to noise and illumination changes and inadaptability to dynamic scenes. Aiming at the above shortcomings, an adaptive vibe algorithm based on dispersion coefficients and spatial consistency factor is proposed. Firstly, the mode of multi-frame images is used to replace single image to realize initialization, which reduces the interference of ghost to background model;Secondly, dispersion coefficient is used to establish adaptive dynamic threshold to improve the adaptability of the algorithm to dynamic background;Finally, the spatial consistency factor with spatial information is used to establish adaptive update factor, which reduces the error rate and enhances the robustness of the algorithm. The experimental results show that our improved vibe algorithm can effectively eliminate ghosts, better adapt to noise, illumination and dynamic background, have more complete detection results and higher detection accuracy than the traditional and others' improved vibe algorithms and Gaussian mixture model.

关键词： vibe algorithm dispersion coefficient spatial consistency factor

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Application of Improved vibe algorithm in Vehicle Detection 21

Application of Improved ViBe Algorithm in Vehicle Detection

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Proceedings of the 2021 4th International Conference on Artificial Intelligence and Pattern Recognition

作者： Dongming Xu Guogang Han Xi 'an University of Posts and Telecommunications China

ISBN: (纸本)9781450384087

Background modeling technology, as the mainstream algorithm of vehicle detection, is widely used in the field of intelligent transportation. In vibe algorithm, the "ghost" phenomenon in the model initialization stage, the update mechanism in the background model update stage and the flicker point interference caused by leaf disturbance, camera jitter and other factors in road scenes are improved. According to the similarity of road gray distribution, a judgment strategy of pixel gray value is introduced to solve the "ghost" phenomenon caused by foreground objects in the image when vibe algorithm is modeling the first frame. The fixed update strategy in vibe algorithm is changed to an adaptive update strategy to better adapt to the changes of road scenes. At the same time, the scintillation point determination mechanism is introduced to solve the leaf disturbance and camera jitter problems. The algorithm was verified by the standard data set Cnt 2014, and the results show that the detection effect is better than the classical algorithm.

关键词： Histogram Moving object detection Vehicle detection vibe algorithm

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Research on Moving Target Detection Based on vibe algorithm 15

Research on Moving Target Detection Based on ViBe Algorithm

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15th IEEE International Conference on Signal Processing (ICSP)

作者： Li, Jianjun Li, Junshan Wang, Junhua Zhu, Zijiang Liaoning Normal Univ Haihua Coll Dalian Peoples R China Guangdong Univ Foreign Studies South China Business Coll Guangzhou Peoples R China

ISBN: (纸本)9781728144801

vibe algorithm is an efficient pixel level video background modeling algorithm. Aiming at the problem of ghost and dynamic background false detection in traditional vibe algorithm, an improved algorithm based on improved vibe algorithm is proposed. Firstly, the initial background model and the background update algorithm of three frame difference are constructed based on the time information to solve the problem of ghost elimination in the vibe algorithm. Aiming at the problem of false detection in the process of dynamic background detection in the vibe algorithm, an adaptive threshold dynamic background motion detection algorithm combined with the three frame difference method is proposed, Three frame difference method is used to determine the dynamic interference area, and adaptive threshold motion detection is used to detect the dynamic interference area. The algorithm can quickly remove ghosts and reduce the probability of false detection in dynamic background. Experimental results show that the algorithm is effective and robust.

关键词： Moving Object detection vibe algorithm Three-frame difference algorithm Adaptive threshold

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An Improved vibe algorithm for Quickly Suppressing Ghosts

An Improved ViBe Algorithm for Quickly Suppressing Ghosts

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2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020

作者： Bai, Enjian Zhao, Jiahui Wu, Yun Donghua University College of Information Science and Technology Shanghai China

ISBN: (纸本)9781728165202

vibe algorithm is a general background difference algorithm for video sequences. Compared with other algorithms, the vibe algorithm has low calculation amount and excellent real-time performance. However, there are some problems with the vibe algorithm, such as the ghost area, shadows of objects, and sudden changes in the scene. The vibe algorithm solely relies on the first frame to initialize the background model, which leads to the appearance of ghosts. If the first frame of the video contains moving objects, ghosts will be introduced, which will affect the detection accuracy. So as to solve the ghost problem, this paper proposes a improved vibe algorithm to speed up ghost removal by locating the ghost area and re-initializing the area. The experimental results prove that the improved algorithm can quickly eliminate ghosts and greatly increase detection accuracy. © 2020 IEEE.

关键词： background difference algorithm ghost removal vibe algorithm video recognition

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The Swimmers Motion Detection Using Improved vibe algorithm 3

The Swimmers Motion Detection Using Improved VIBE Algorithm

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3rd International Conference on Robotics and Automation in Industry (ICRAI)

作者： Hayat, Muhammad Aftab Yang, Goutian Iqbal, Atif Saleem, Adeel Hussain, Adil Mateen, Muhammad North China Elect Power Univ Sch Control & Comp Engn Beijing Peoples R China North China Elect Power Univ Sch Renewable Energy & Clean Energy Beijing Peoples R China Univ Lahore Dept Elect Engn Lahore Pakistan North China Elect Power Univ Sch Elect & Elect Engn Beijing Peoples R China

ISBN: (纸本)9781728130583

this paper proposed a novel method for drowning person detection in the swimming pool using video images. For background extraction and to update the exact motion area from the whole video using frame by frame difference vibe algorithm is used. Static and dynamic features are detected to recognize the normal swimmer and drowning person. The present invention discloses video based swimming pools drowning event detection method. In the detection process Time of map(Tom), the method is used to improve the traditional vibe result. The sequence of video images of the swimming pool is collected in real-time by using a camera installed above the water surface, which mainly includes three steps of swimmers detection, swimmers tracking and drowning person behavior analysis. In the aspect of swimmer detection, an improved vibe swimmer detection algorithm is proposed, and the algorithm is used to determine the swimmer's position. The swimmer tracking and particle filter based on the color distribution model which is combined with the nearest neighbor data association algorithm to achieve tracking of multiple swimmers In the analysis of drowning behavior, three characteristics of drowning behavior are proposed to determine whether the swimmer is drowning. The invention can monitor the swimming pool in real-time through the camera installed above the water surface in a real public swimming place, and automatically detect the drowning person, which has great engineering application value.

关键词： Swimmers drowning person static and dynamic feature drowning behavior vibe algorithm

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Application of Improved vibe algorithm in Robot Grabbing System Based on Visual Servo 2019

Application of Improved VIBE Algorithm in Robot Grabbing Sys...

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4th International Conference on Robotics, Control and Automation (ICRCA)

作者： Liu, Shuang Huang, Jin Shen, Yaogao Guo, Zichang Dalian Maritime Univ Coll Marine Elect Engn Dalian Peoples R China

ISBN: (纸本)9781450371834

Object detection is the essential part for arm robot grabbing system. Traditional vibe (Visual Background Extractor) algorithm is used to capture moving objects in a visual servo-based robot grabbing system, but there are three major problems in the image: ghost, shadow and hole. Aiming at the three defects of vibe algorithm, the corresponding improvement schemes are put forward: the frame difference method combined with vibe algorithm is designed to solve the 'ghost' problem, the improved model based on normalized RGB space is used to eliminate the 'shadow'. Finally, image enclosure algorithm is used to deal with "holes". Through the comparative analysis of the experimental results, the effectiveness of the improved algorithm is verified, and the above three problems are well solved.

关键词： vibe algorithm ghost elimination shadow elimination holes elimination

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Effectiveness of Haar-like Features and vibe algorithm for Detecting Jaywalkers 2019

Effectiveness of Haar-like Features and ViBe Algorithm for D...

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Proceedings of the 2019 2nd International Conference on Computational Intelligence and Intelligent Systems

作者： John Paul Q. Tomas Shaina Nicole V. Jocsing James Kirk L. Guanzon Chielo Jane A. Matias School of Information Technology Mapúa University Makati City Philippines

ISBN: (纸本)9781450372596

Despite many attempts, common techniques used in pedestrian detection still encounter problems such as high miss rate and false detection rates with images and videos. Several studies have been conducted in the field of object detection, and there are still other existing gaps such as, detection hampered due to lighting, object size distortion caused by angle and perspective projection while taking the video footage, and ghosting in certain frames due to sudden movements of static objects. This study focuses in devising a model that detects and classifies pedestrians crossing from other moving objects within a given region of interest (ROI). The proponents utilized vibe algorithm that covered the process of segmenting the foreground objects (pedestrians crossing) from the background, while to process the segmented images, Haar-like features was utilized that focused on the characteristics of the different human body parts which determined if the segmented moving objects are pedestrians. The scope of this study did not include detection of pedestrians that are using skateboards, wheelchairs, canes, and other walking aids that are utilized while crossing the road. This study determines the volume of people who are really crossing in the designated pedestrian lane. A Region of Interest (ROI) which is the pedestrian lane of any design, was considered in quantifying the number of people crossing inside and outside the said ROI.

关键词： Pedestrian Detection vibe algorithm Haar-like Features Region of Interest Background subtraction

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