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

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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An Improved vibe algorithm Based on Salient Region Detection 13th

An Improved ViBe Algorithm Based on Salient Region Detection

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13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)

作者： Zhang, Yuwan Guo, Baolong Xidian Univ Sch Aerosp Sci & Technol Xian 710071 Peoples R China

ISBN: (纸本)9783319638560;9783319638553

The vibe algorithm is a powerful technique for the background detection and subtraction in video sequences. Compared to the state-of-the-art algorithms, vibe algorithm is better in fast speed and less memory consumption. However, when applying vibe algorithm to the moving objects appeared in the first frame of videos, all pixels in first frame will be used to build the background model that will result in the foreground pixels in sample set. This problem causes the ghost areas emerge. And it will remain for a long time. In this paper, a salient region detection based vibe algorithm is proposed to eliminate the ghost areas fast. First, the foreground region is extracted from the first frame of videos using the salient region detection algorithm. According to the result of salient region detection, the background area of image is separated from the foreground area. The foreground pixels are dislodged from the sample set. Then, only background pixels are used for background model initialization. The experimental result shows that the improved algorithm can eliminate ghost in few frames quickly.

关键词： vibe algorithm Ghost area Background model Object detection

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Improvements on vibe algorithm for Detecting Foreground Objects 5

Improvements on Vibe Algorithm for Detecting Foreground Obje...

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5th International Conference on Computer Science and Network Technology (ICCSNT)

作者： Biao, Wang Lin, Zheng Wuhan Univ Technol Sch Informat Wuhan Hubei Peoples R China Wuhan Univ Technol Sch Informat Hubei Inland Shipping Technol Key Lab Country Wuhan Hubei Peoples R China

ISBN: (纸本)9781509021291

In order to improve the execution efficiency of vibe algorithm in the process of background model updating, a time and space integrated method is proposed, which can not only take the advantage of previous memoryless updating strategy, but also improve the execution efficiency of the algorithm by combining both with-memory and memoryless methods. To remove the ghost in the initialization phase of vibe algorithm, we present a method which combines vibe algorithm and saliency map. For the Conservative update mechanism of vibe algorithm, a foreground life mechanism based on the life cycle of foreground blobs is applied, so that wrongly updatings of big and slow objects can be avoided. The experiments show that the above three proposed algorithms give better performance compared with classical vibe algorithm.

关键词： vibe algorithm execution efficiency ghost elimination saliency map foreground blobs

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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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Study on Extraction Method of Smoke Contour by Improved vibe algorithm and Watershed algorithm

Study on Extraction Method of Smoke Contour by Improved Vibe...

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Conference on LIDAR Imaging Detection and Target Recognition

作者： Cao Guo-qiang Zhang Jing-long Yin Hang Shenyang Aerosp Univ Engn Training Studio Shenyang 110136 Liaoning Peoples R China

ISBN: (数字)9781510617070

ISBN: (纸本)9781510617070;9781510617063

A vibe improved algorithm based on HIS color space and a watershed algorithm are used to obtain the smoke contours. The vibe algorithm is used to extract smoke anomalies and smoke inaccuracies. In this paper, the classical vibe algorithm is described, and the existing problems in the smoke detection are analyzed. A vibe algorithm is proposed to change the gray color space and the HIS color space by using the color feature information and vibe. The influence of light and shadow on the smoke extraction noise is reduced by using the difference of pixel value based on Euclidean distance. The problem of imprecision of smoke caused by vibe algorithm is analyzed by using the watershed algorithm. Finally, the proposed method is evaluated by Barnich experiment standard. The experimental results show that the proposed method can extract the smoke profile more accurately and has good robustness.

关键词： vibe algorithm HIS color space watershed algorithm smoke contour extraction

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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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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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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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Fusing Canny Operator With vibe algorithm For Target Detection 28

Fusing Canny Operator With Vibe Algorithm For Target Detecti...

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28th Chinese Control and Decision Conference

作者： Jin, Dongliang Zhu, Songhao Sun, Xian Liang, Zhiwei Xu, Guozheng Nanjing Univ Posts & Telecommun Sch Automat Nanjing 210046 Jiangsu Peoples R China

ISBN: (纸本)9781467397148

Due to the complexity of human motion, the target detection results by using traditional vibe algorithm are not so satisfactory. Therefore, this paper proposes a method to deal with the target detection issue by fusing an improved Canny operator with vibe algorithm. Specifically, the vibe algorithm is utilized to achieve the initial foreground region of a moving object;then, the improved Canny operator is applied to extract the edge information of a moving object;finally, the extracted foreground region and edge information are fused to obtain more accurate foreground region. The experimental results performed on KTH human behavior database demonstrate the effectiveness of the proposed scheme.

关键词： Foreground extraction Edge extraction vibe algorithm Body contour Motion recognition

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