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27th Chinese Control and Decision Conference (CCDC)

作者： Li, Xiangxiang Zhu, Songhao Chen, Lingling Liu, Jiawei Nanjing Univ Posts & Telecommun Sch Automat Nanjing 210046 Jiangsu Peoples R China

ISBN: (纸本)9781479970162

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 Body Contour Motion Recognition vibe algorithm

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High-Speed Moving Target Detection Based on Background Modeling 13th

High-Speed Moving Target Detection Based on Background Model...

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13th International Workshop of Advanced Manufacturing and Automation, IWAMA 2023

作者： Lu, Lixin Chen, Shuo Li, Guiqin Mitrouchev, Peter Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai China University Grenoble Alpes G-SCOP Grenoble38031 France

ISBN: (纸本)9789819706648

The improved adaptive threshold decision method based on the fusion of OTSU and equilibrium measurement to overcome the influence of flickering steel strip background is presented for high-speed moving target detection. The improved vibe algorithm that integrates three frame difference methods is proposed to address the impact of shooting jitter. The final experimental results show that compared with other algorithms, the proposed algorithm has good effects on the precision and recall. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Moving target detection Otsu threshold algorithm Three frame difference methods vibe algorithm

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Simple multi-scale human abnormal behaviour detection based on video

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INTERNATIONAL JOURNAL OF INFORMATION AND COMPUTER SECURITY 2022年第3-4期17卷 310-320页

作者： Ke, Gang Chen, Ruey-Shun Chen, Yeh-Cheng Hu, Yu-Xi Wu, Tsu-Yang Dongguan Polytech Dept Comp Engn Dongguan Guangdong Peoples R China Univ Calif Davis Dept Comp Sci Davis CA USA Northwestern Polytech Univ Sch Software Xian Shanxi Peoples R China Shandong Univ Sci & Technol Coll Informat Sci & Technol Qingdao Shandong Peoples R China

Aiming at the problem of real-time and low accuracy of automatic recognition of human abnormal behaviour in a public area surveillance video, a simple multi-scale human anomaly behaviour detection algorithm based on video was proposed. Firstly, the binary image sequence of human body in surveillance video is acquired by background modelling method based on visual background extraction (vibe). Then, the simple multi-scale algorithm is constructed by combining the aspect ratio, motion trajectory and video continuous interframe motion acceleration of the minimum circumscribed rectangle of the binarised image. The human target behaviour is judged, and then the normal behaviour of the human body - standing, walking, jogging, and abnormal behaviour - shouting for help, falling, punching, wandering, and sudden running are identified. The experimental results show that the human body moving target recognition by vibe combined with simple multi-scale algorithm for abnormal behaviour detection has good real-time performance and high accuracy.

关键词： pedestrian recognition anomalous behaviour detection vibe algorithm simple multi-scale algorithm surveillance video

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Joint Detection and Tracking with Movable Camera and Its Application to a Drilling Robot in Underground Coal Mine 19

Joint Detection and Tracking with Movable Camera and Its App...

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19th IEEE International Conference on Mechatronics and Automation (IEEE ICMA)

作者： Guo, Jiongchi Zou, Xiaoyu Wang, Zhongbin Pan, Jie China Univ Min & Technol Sch Mech & Elect Engn Jiangsu Key Lab Mine Mech & Elect Equipment Xuzhou 221116 Jiangsu Peoples R China

ISBN: (数字)9781665408530

ISBN: (纸本)9781665408530;9781665408523

The movable camera usually has two states, namely static and moving, which makes it difficult to detect or track the object. The following three problems may rise. First, when the camera and the object are relatively stationary, the stationary object may possibly be misjudged as the background or even be gradually absorbed by the background, due to the complexity and limitation of the background model construction. Second, when the camera and the object are relatively moving, the object may be blurred due to camera vibration since the relative movement between them is irregular, which affects the tracking effect. Third, the background is constantly changing when the camera is moving, which may cause confusion between the object and the background. In order to solve the above problems, this paper proposes a joint detection and tracking method with moving camera. The relative status between the camera and the object is judged in real time through the Lucas-Kanade (LK) algorithm at first. For relative stationary state, object detection can be conducted with foreground segmentation method. For relative moving state, object tracking can be implemented with color based adaptive tracking method. Then, the objective can be simultaneously detected and tracked with moving camera, by distinguishing relative stationary and moving states. Finally, to verify the effectiveness of the proposed method, it is applied to borehole detection and tracking for a drilling robot in underground coal mine.

关键词： Object Detection vibe algorithm Camshift algorithm Borehole Recognition Coal Mine Drilling Robot

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A Moving Object Detection algorithm for Removing Ghost and Shadow 40

A Moving Object Detection Algorithm for Removing Ghost and S...

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40th Chinese Control Conference (CCC)

作者： Tang, Min'an Liu, Weili Lanzhou Jiaotong Univ Coll Automat & Elect Engn Lanzhou 730070 Peoples R China

ISBN: (纸本)9789881563804

The motion target detection algorithm for visual background extraction (vibe) is widely used in dynamic target detection in video sequences, but because of the ghosting and shadow problems in the traditional vibe algorithm, it will have some influence on the accuracy of target detection. In view of the problem that the traditional vibe algorithm is difficult to eliminate in detecting the ghost phenomenon in the detection target, a method of combining the improved three-frame difference method, the maximum inter-class variance method (Otsu) and the vibe algorithm is proposed to detect and eliminate ghost problems, and a method combining HSV color space and texture characteristics is proposed to detect and eliminate the shadow. The simulation experiments on CDW-2014, the public video database, show that the algorithm can not only effectively remove ghost and shadow problems, but also extract the moving target accurately.

关键词： vibe algorithm ghost elimination HSV color space shadow detection

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Coarse-to-fine sample-based background subtraction for moving object detection

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OPTIK 2020年 207卷 164195-000页

作者： Xu, Yiping Ji, Hongbing Zhang, Wenbo Xidian Univ Sch Elect Engn POB 291 Xian 710071 Shaanxi Peoples R China

Background subtraction is crucial for detecting moving objects in videos. However, most background subtraction methods usually fail to deal well with illumination changes, static foreground, ghosts, and dynamic background. In this paper, we propose an efficient coarse-to-fine sample-based algorithm to address these issues simultaneously. Specifically, a rough motion region estimation method, is first proposed by combining an improved frame difference method, the block-based image partition algorithm and multi-scale region-based technique to locate the possible area of moving objects. It can compensate the global illumination change and suppress dynamic background. Then, an improved vibe algorithm with adaptive distance threshold and time sub-sampling factor parameters for each pixel is proposed to detect precise moving objects. It can not only retain static foreground for a long time while eliminating ghosts rapidly, but also detect camouflaged foreground efficiently. Experimental results demonstrate that our proposed algorithm can extract moving objects more accurately with less time cost than several state-of-the-art background subtraction approaches.

关键词： Motion Detection Background subtraction Frame difference Multi-scale Region-based Technique vibe algorithm

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Research on Real-time Monitoring of Video Images of Traffic Vehicles and Pedestrian Flow using Intelligent algorithms

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2022年第12期13卷 582-589页

作者： Dong, Xiujuan Lan, Jianping Wu, Wenhuan Hubei Univ Automot Technol Sch Elect & Informat Engn Shiyan 442002 Hubei Peoples R China

development of urbanization has brought many traffic problems, among which the delayed feedback of traffic flow and people flow has led to traffic congestion. In order to effectively analyze the traffic flow and people flow on the traffic road, this research proposes a traffic surveillance video image object detection model based on the improved vibe algorithm, and uses the moving historical image to track the traffic flow and people flow. Finally, the performance analysis of the algorithm shows that the loss rate of the improved vibe algorithm proposed in the study is only 0.25%, and its detection accuracy reaches 91.25%. The above results show that the use of vibe intelligent algorithm can significantly improve the detection effect of traffic flow and pedestrian flow in traffic monitoring video, help to improve urban traffic management ability and promote the development of urban modernization.

关键词： Urban development object detection traffic video vibe algorithm visitors flowrate image filtering

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Background subtraction with shadow removal using hue and texture model for moving object detection

Background subtraction with shadow removal using hue and tex...

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19th International Conference on Electronics, Information, and Communication (ICEIC)

作者： Kim, Young-Choon Bae, Tae-Wuk Ahn, Sang-Ho U1 Univ Seoul South Korea Elect & Telecommun Res Inst Seoul South Korea Inje Univ Dept Elect Telecommun Mech & Automot Engn Gimhae South Korea

This paper proposes a background subtraction method with shadow removal for moving object detection. The proposed method is based on existing vibe algorithm and shadow is removed for the foreground detected by vibe. S... 详细信息

ISBN: (纸本)9781728162898

关键词： Background subtraction Shadow removal vibe algorithm Hue Texture model

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The improvement of vibe foreground detection algorithm 10

The improvement of VIBE foreground detection algorithm

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10th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Automatic Target Recognition and Navigation

作者： Xu, Ahong Zhang, Jun Tian, Jinwen Zhang, Daimeng Liu, Xiaomao HUST Sch Automat State Key Lab Multispectral Informat Proc Technol Wuhan 430074 Hubei Peoples R China Univ Maryland Dept Elect & Comp Engn College Pk MD 20742 USA HUST Sch Math & Stat Wuhan 430074 Hubei Peoples R China

ISBN: (数字)9781510617209

ISBN: (纸本)9781510617209;9781510617193

vibe algorithm is one of the effective methods that based on dynamic model, which can deal with the detection of moving objects in the slowly changing background. The traditional vibe uses a fixed threshold to realize target cutting, that would result in a poor detection when the target enters a background area whose pixel value is not much different from its own pixel value. Thus, we propose a method of moving target detection based on dynamic threshold in this paper.

关键词： vibe algorithm background modeling moving target detection dynamic threshold

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Video based Fire Detection in Photovoltaic System 4

Video based Fire Detection in Photovoltaic System

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4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)

作者： He, Zengxiang Southeast Univ Sch Automat Nanjing Peoples R China

ISBN: (纸本)9781728146898

Video fire detection is of great significance in complex scene fire alarms, such as photovoltaic systems and factory workshops. The difficulty of flame detection is to overcome the effects of objects similar to flames and the interference of camera shake. In order to improve the accuracy of detection, image preprocessing is first carried out, then the motion foreground is extracted by vibe algorithm, and then the RGB and HIS color features are used to perform threshold constraint. Finally, the flame region is detected from the motion region. The experimental results show that the algorithm is robust in complex scenarios and has good real-time performance.

关键词： photovoltaic system fire detection vibe algorithm color characteristics

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